lunwen_ccfc_cifar10_fed_train2.log

nohup: ignoring input
cuda:1
Namespace(batch_size=1500, data_root='./datasets', exp_dir='./save/CCFC', global_lr=1, image_size=224, k=10, latent_dim=256, lbd=0.005, lr=0.0005, mini_bs=125, n_clients=40, num_proj_layers=2, num_workers=6, p=0.0, pre_hidden_dim=64, proj_hidden_dim=512, resnet='ResNet18', sample_ratio=0.1, seed=66, test_image_size=256, trial='v4')
backbone.conv1.weight 9408 torch.Size([64, 3, 7, 7])
backbone.bn1.weight 64 torch.Size([64])
backbone.bn1.bias 64 torch.Size([64])
backbone.layer1.0.conv1.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.0.bn1.weight 64 torch.Size([64])
backbone.layer1.0.bn1.bias 64 torch.Size([64])
backbone.layer1.0.conv2.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.0.bn2.weight 64 torch.Size([64])
backbone.layer1.0.bn2.bias 64 torch.Size([64])
backbone.layer1.1.conv1.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.1.bn1.weight 64 torch.Size([64])
backbone.layer1.1.bn1.bias 64 torch.Size([64])
backbone.layer1.1.conv2.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.1.bn2.weight 64 torch.Size([64])
backbone.layer1.1.bn2.bias 64 torch.Size([64])
backbone.layer2.0.conv1.weight 73728 torch.Size([128, 64, 3, 3])
backbone.layer2.0.bn1.weight 128 torch.Size([128])
backbone.layer2.0.bn1.bias 128 torch.Size([128])
backbone.layer2.0.conv2.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.0.bn2.weight 128 torch.Size([128])
backbone.layer2.0.bn2.bias 128 torch.Size([128])
backbone.layer2.0.downsample.0.weight 8192 torch.Size([128, 64, 1, 1])
backbone.layer2.0.downsample.1.weight 128 torch.Size([128])
backbone.layer2.0.downsample.1.bias 128 torch.Size([128])
backbone.layer2.1.conv1.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.1.bn1.weight 128 torch.Size([128])
backbone.layer2.1.bn1.bias 128 torch.Size([128])
backbone.layer2.1.conv2.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.1.bn2.weight 128 torch.Size([128])
backbone.layer2.1.bn2.bias 128 torch.Size([128])
backbone.layer3.0.conv1.weight 294912 torch.Size([256, 128, 3, 3])
backbone.layer3.0.bn1.weight 256 torch.Size([256])
backbone.layer3.0.bn1.bias 256 torch.Size([256])
backbone.layer3.0.conv2.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.0.bn2.weight 256 torch.Size([256])
backbone.layer3.0.bn2.bias 256 torch.Size([256])
backbone.layer3.0.downsample.0.weight 32768 torch.Size([256, 128, 1, 1])
backbone.layer3.0.downsample.1.weight 256 torch.Size([256])
backbone.layer3.0.downsample.1.bias 256 torch.Size([256])
backbone.layer3.1.conv1.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.1.bn1.weight 256 torch.Size([256])
backbone.layer3.1.bn1.bias 256 torch.Size([256])
backbone.layer3.1.conv2.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.1.bn2.weight 256 torch.Size([256])
backbone.layer3.1.bn2.bias 256 torch.Size([256])
backbone.layer4.0.conv1.weight 1179648 torch.Size([512, 256, 3, 3])
backbone.layer4.0.bn1.weight 512 torch.Size([512])
backbone.layer4.0.bn1.bias 512 torch.Size([512])
backbone.layer4.0.conv2.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.0.bn2.weight 512 torch.Size([512])
backbone.layer4.0.bn2.bias 512 torch.Size([512])
backbone.layer4.0.downsample.0.weight 131072 torch.Size([512, 256, 1, 1])
backbone.layer4.0.downsample.1.weight 512 torch.Size([512])
backbone.layer4.0.downsample.1.bias 512 torch.Size([512])
backbone.layer4.1.conv1.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.1.bn1.weight 512 torch.Size([512])
backbone.layer4.1.bn1.bias 512 torch.Size([512])
backbone.layer4.1.conv2.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.1.bn2.weight 512 torch.Size([512])
backbone.layer4.1.bn2.bias 512 torch.Size([512])
projector.layer1.0.weight 262144 torch.Size([512, 512])
projector.layer1.0.bias 512 torch.Size([512])
projector.layer1.1.weight 512 torch.Size([512])
projector.layer1.1.bias 512 torch.Size([512])
projector.layer2.0.weight 262144 torch.Size([512, 512])
projector.layer2.0.bias 512 torch.Size([512])
projector.layer2.1.weight 512 torch.Size([512])
projector.layer2.1.bias 512 torch.Size([512])
projector.layer3.0.weight 131072 torch.Size([256, 512])
projector.layer3.0.bias 256 torch.Size([256])
predictor.layer1.0.weight 16384 torch.Size([64, 256])
predictor.layer1.0.bias 64 torch.Size([64])
predictor.layer1.1.weight 64 torch.Size([64])
predictor.layer1.1.bias 64 torch.Size([64])
predictor.layer2.weight 16384 torch.Size([256, 64])
predictor.layer2.bias 256 torch.Size([256])
Round:  0 User: 4 Train Loss: -1.736
Round:  0 User: 5 Train Loss: -1.748
Round:  0 User: 19 Train Loss: -1.742
Round:  0 User: 30 Train Loss: -1.746
count 4
Round:  0 Train Loss: -1.743
centeral clustering:
Round:  1 User: 31 Train Loss: -1.774
Round:  1 User: 32 Train Loss: -1.767
Round:  1 User: 34 Train Loss: -1.742
Round:  1 User: 36 Train Loss: -1.742
count 4
Round:  1 Train Loss: -1.756
centeral clustering:
Round:  2 User: 2 Train Loss: -1.768
Round:  2 User: 19 Train Loss: -1.754
Round:  2 User: 23 Train Loss: -1.753
Round:  2 User: 35 Train Loss: -1.755
count 4
Round:  2 Train Loss: -1.758
centeral clustering:
Round:  3 User: 5 Train Loss: -1.748
Round:  3 User: 11 Train Loss: -1.762
Round:  3 User: 13 Train Loss: -1.783
Round:  3 User: 22 Train Loss: -1.778
count 4
Round:  3 Train Loss: -1.768
centeral clustering:
Round:  4 User: 0 Train Loss: -1.744
Round:  4 User: 1 Train Loss: -1.737
Round:  4 User: 19 Train Loss: -1.755
Round:  4 User: 38 Train Loss: -1.772
count 4
Round:  4 Train Loss: -1.752
centeral clustering:
Global  NMI = 0.3300 ARI = 0.2212 F = 0.3045 ACC = 0.4243
Round:  5 User: 1 Train Loss: -1.768
Round:  5 User: 11 Train Loss: -1.776
Round:  5 User: 16 Train Loss: -1.776
Round:  5 User: 31 Train Loss: -1.747
count 4
Round:  5 Train Loss: -1.767
centeral clustering:
Round:  6 User: 3 Train Loss: -1.774
Round:  6 User: 4 Train Loss: -1.769
Round:  6 User: 8 Train Loss: -1.758
Round:  6 User: 12 Train Loss: -1.785
count 4
Round:  6 Train Loss: -1.772
centeral clustering:
Round:  7 User: 17 Train Loss: -1.784
Round:  7 User: 18 Train Loss: -1.750
Round:  7 User: 25 Train Loss: -1.772
Round:  7 User: 36 Train Loss: -1.777
count 4
Round:  7 Train Loss: -1.771
centeral clustering:
Round:  8 User: 5 Train Loss: -1.762
Round:  8 User: 9 Train Loss: -1.783
Round:  8 User: 28 Train Loss: -1.773
Round:  8 User: 35 Train Loss: -1.763
count 4
Round:  8 Train Loss: -1.770
centeral clustering:
Round:  9 User: 1 Train Loss: -1.756
Round:  9 User: 20 Train Loss: -1.780
Round:  9 User: 33 Train Loss: -1.786
Round:  9 User: 35 Train Loss: -1.756
count 4
Round:  9 Train Loss: -1.770
centeral clustering:
Global  NMI = 0.3399 ARI = 0.2211 F = 0.3038 ACC = 0.4331
Round:  10 User: 0 Train Loss: -1.774
Round:  10 User: 1 Train Loss: -1.776
Round:  10 User: 7 Train Loss: -1.770
Round:  10 User: 17 Train Loss: -1.785
count 4
Round:  10 Train Loss: -1.776
centeral clustering:
Round:  11 User: 15 Train Loss: -1.764
Round:  11 User: 19 Train Loss: -1.775
Round:  11 User: 27 Train Loss: -1.788
Round:  11 User: 34 Train Loss: -1.756
count 4
Round:  11 Train Loss: -1.771
centeral clustering:
Round:  12 User: 15 Train Loss: -1.773
Round:  12 User: 23 Train Loss: -1.780
Round:  12 User: 33 Train Loss: -1.796
Round:  12 User: 35 Train Loss: -1.790
count 4
Round:  12 Train Loss: -1.785
centeral clustering:
Round:  13 User: 3 Train Loss: -1.783
Round:  13 User: 16 Train Loss: -1.767
Round:  13 User: 19 Train Loss: -1.749
Round:  13 User: 23 Train Loss: -1.782
count 4
Round:  13 Train Loss: -1.770
centeral clustering:
Round:  14 User: 14 Train Loss: -1.776
Round:  14 User: 21 Train Loss: -1.771
Round:  14 User: 22 Train Loss: -1.787
Round:  14 User: 29 Train Loss: -1.795
count 4
Round:  14 Train Loss: -1.782
centeral clustering:
Global  NMI = 0.3438 ARI = 0.2291 F = 0.3110 ACC = 0.4575
Round:  15 User: 9 Train Loss: -1.775
Round:  15 User: 20 Train Loss: -1.789
Round:  15 User: 23 Train Loss: -1.789
Round:  15 User: 28 Train Loss: -1.781
count 4
Round:  15 Train Loss: -1.784
centeral clustering:
Round:  16 User: 4 Train Loss: -1.771
Round:  16 User: 15 Train Loss: -1.780
Round:  16 User: 21 Train Loss: -1.786
Round:  16 User: 38 Train Loss: -1.775
count 4
Round:  16 Train Loss: -1.778
centeral clustering:
Round:  17 User: 18 Train Loss: -1.777
Round:  17 User: 26 Train Loss: -1.776
Round:  17 User: 35 Train Loss: -1.792
Round:  17 User: 38 Train Loss: -1.780
count 4
Round:  17 Train Loss: -1.781
centeral clustering:
Round:  18 User: 3 Train Loss: -1.768
Round:  18 User: 21 Train Loss: -1.796
Round:  18 User: 35 Train Loss: -1.778
Round:  18 User: 37 Train Loss: -1.783
count 4
Round:  18 Train Loss: -1.781
centeral clustering:
Round:  19 User: 1 Train Loss: -1.756
Round:  19 User: 10 Train Loss: -1.790
Round:  19 User: 20 Train Loss: -1.782
Round:  19 User: 26 Train Loss: -1.768
count 4
Round:  19 Train Loss: -1.774
centeral clustering:
Global  NMI = 0.3469 ARI = 0.2335 F = 0.3151 ACC = 0.4621
Global  NMI = 0.3449 ARI = 0.2300 F = 0.3136 ACC = 0.4562
Round:  20 User: 2 Train Loss: -1.789
Round:  20 User: 5 Train Loss: -1.780
Round:  20 User: 6 Train Loss: -1.783
Round:  20 User: 25 Train Loss: -1.787
count 4
Round:  20 Train Loss: -1.785
centeral clustering:
Round:  21 User: 9 Train Loss: -1.788
Round:  21 User: 12 Train Loss: -1.777
Round:  21 User: 32 Train Loss: -1.775
Round:  21 User: 35 Train Loss: -1.772
count 4
Round:  21 Train Loss: -1.778
centeral clustering:
Round:  22 User: 2 Train Loss: -1.785
Round:  22 User: 6 Train Loss: -1.793
Round:  22 User: 17 Train Loss: -1.787
Round:  22 User: 28 Train Loss: -1.782
count 4
Round:  22 Train Loss: -1.787
centeral clustering:
Round:  23 User: 14 Train Loss: -1.807
Round:  23 User: 15 Train Loss: -1.787
Round:  23 User: 23 Train Loss: -1.788
Round:  23 User: 37 Train Loss: -1.785
count 4
Round:  23 Train Loss: -1.792
centeral clustering:
Round:  24 User: 4 Train Loss: -1.769
Round:  24 User: 13 Train Loss: -1.782
Round:  24 User: 17 Train Loss: -1.788
Round:  24 User: 28 Train Loss: -1.786
count 4
Round:  24 Train Loss: -1.781
centeral clustering:
Global  NMI = 0.3334 ARI = 0.2186 F = 0.3010 ACC = 0.4203
Round:  25 User: 6 Train Loss: -1.779
Round:  25 User: 10 Train Loss: -1.782
Round:  25 User: 17 Train Loss: -1.786
Round:  25 User: 20 Train Loss: -1.794
count 4
Round:  25 Train Loss: -1.785
centeral clustering:
Round:  26 User: 11 Train Loss: -1.776
Round:  26 User: 12 Train Loss: -1.780
Round:  26 User: 14 Train Loss: -1.800
Round:  26 User: 29 Train Loss: -1.795
count 4
Round:  26 Train Loss: -1.788
centeral clustering:
Round:  27 User: 4 Train Loss: -1.786
Round:  27 User: 25 Train Loss: -1.798
Round:  27 User: 26 Train Loss: -1.771
Round:  27 User: 37 Train Loss: -1.780
count 4
Round:  27 Train Loss: -1.784
centeral clustering:
Round:  28 User: 1 Train Loss: -1.766
Round:  28 User: 8 Train Loss: -1.776
Round:  28 User: 16 Train Loss: -1.787
Round:  28 User: 34 Train Loss: -1.782
count 4
Round:  28 Train Loss: -1.778
centeral clustering:
Round:  29 User: 8 Train Loss: -1.795
Round:  29 User: 27 Train Loss: -1.779
Round:  29 User: 28 Train Loss: -1.780
Round:  29 User: 39 Train Loss: -1.792
count 4
Round:  29 Train Loss: -1.787
centeral clustering:
Global  NMI = 0.3343 ARI = 0.2201 F = 0.3036 ACC = 0.4058
Round:  30 User: 0 Train Loss: -1.801
Round:  30 User: 12 Train Loss: -1.782
Round:  30 User: 33 Train Loss: -1.777
Round:  30 User: 36 Train Loss: -1.776
count 4
Round:  30 Train Loss: -1.784
centeral clustering:
Round:  31 User: 6 Train Loss: -1.791
Round:  31 User: 10 Train Loss: -1.788
Round:  31 User: 14 Train Loss: -1.801
Round:  31 User: 18 Train Loss: -1.786
count 4
Round:  31 Train Loss: -1.791
centeral clustering:
Round:  32 User: 14 Train Loss: -1.800
Round:  32 User: 16 Train Loss: -1.787
Round:  32 User: 20 Train Loss: -1.798
Round:  32 User: 31 Train Loss: -1.780
count 4
Round:  32 Train Loss: -1.791
centeral clustering:
Round:  33 User: 11 Train Loss: -1.780
Round:  33 User: 28 Train Loss: -1.778
Round:  33 User: 32 Train Loss: -1.804
Round:  33 User: 39 Train Loss: -1.800
count 4
Round:  33 Train Loss: -1.791
centeral clustering:
Round:  34 User: 3 Train Loss: -1.774
Round:  34 User: 4 Train Loss: -1.808
Round:  34 User: 18 Train Loss: -1.798
Round:  34 User: 37 Train Loss: -1.789
count 4
Round:  34 Train Loss: -1.792
centeral clustering:
Global  NMI = 0.3399 ARI = 0.2225 F = 0.3071 ACC = 0.4014
Round:  35 User: 0 Train Loss: -1.786
Round:  35 User: 29 Train Loss: -1.788
Round:  35 User: 30 Train Loss: -1.788
Round:  35 User: 38 Train Loss: -1.795
count 4
Round:  35 Train Loss: -1.789
centeral clustering:
Round:  36 User: 16 Train Loss: -1.796
Round:  36 User: 20 Train Loss: -1.801
Round:  36 User: 24 Train Loss: -1.792
Round:  36 User: 36 Train Loss: -1.794
count 4
Round:  36 Train Loss: -1.796
centeral clustering:
Round:  37 User: 14 Train Loss: -1.794
Round:  37 User: 17 Train Loss: -1.800
Round:  37 User: 20 Train Loss: -1.783
Round:  37 User: 30 Train Loss: -1.762
count 4
Round:  37 Train Loss: -1.785
centeral clustering:
Round:  38 User: 5 Train Loss: -1.771
Round:  38 User: 30 Train Loss: -1.784
Round:  38 User: 32 Train Loss: -1.783
Round:  38 User: 33 Train Loss: -1.809
count 4
Round:  38 Train Loss: -1.787
centeral clustering:
Round:  39 User: 4 Train Loss: -1.767
Round:  39 User: 21 Train Loss: -1.791
Round:  39 User: 31 Train Loss: -1.774
Round:  39 User: 37 Train Loss: -1.791
count 4
Round:  39 Train Loss: -1.781
centeral clustering:
Global  NMI = 0.3465 ARI = 0.2353 F = 0.3187 ACC = 0.4172
Global  NMI = 0.3406 ARI = 0.2211 F = 0.3147 ACC = 0.4079
Round:  40 User: 1 Train Loss: -1.782
Round:  40 User: 12 Train Loss: -1.791
Round:  40 User: 17 Train Loss: -1.783
Round:  40 User: 31 Train Loss: -1.782
count 4
Round:  40 Train Loss: -1.784
centeral clustering:
Round:  41 User: 4 Train Loss: -1.773
Round:  41 User: 17 Train Loss: -1.781
Round:  41 User: 19 Train Loss: -1.794
Round:  41 User: 32 Train Loss: -1.795
count 4
Round:  41 Train Loss: -1.786
centeral clustering:
Round:  42 User: 2 Train Loss: -1.799
Round:  42 User: 3 Train Loss: -1.784
Round:  42 User: 21 Train Loss: -1.790
Round:  42 User: 38 Train Loss: -1.788
count 4
Round:  42 Train Loss: -1.790
centeral clustering:
Round:  43 User: 9 Train Loss: -1.786
Round:  43 User: 17 Train Loss: -1.787
Round:  43 User: 19 Train Loss: -1.779
Round:  43 User: 36 Train Loss: -1.782
count 4
Round:  43 Train Loss: -1.784
centeral clustering:
Round:  44 User: 23 Train Loss: -1.771
Round:  44 User: 24 Train Loss: -1.802
Round:  44 User: 28 Train Loss: -1.790
Round:  44 User: 34 Train Loss: -1.764
count 4
Round:  44 Train Loss: -1.782
centeral clustering:
Global  NMI = 0.3507 ARI = 0.2299 F = 0.3181 ACC = 0.4369
Round:  45 User: 9 Train Loss: -1.800
Round:  45 User: 14 Train Loss: -1.800
Round:  45 User: 33 Train Loss: -1.810
Round:  45 User: 39 Train Loss: -1.809
count 4
Round:  45 Train Loss: -1.805
centeral clustering:
Round:  46 User: 7 Train Loss: -1.800
Round:  46 User: 26 Train Loss: -1.779
Round:  46 User: 28 Train Loss: -1.781
Round:  46 User: 29 Train Loss: -1.791
count 4
Round:  46 Train Loss: -1.787
centeral clustering:
Round:  47 User: 11 Train Loss: -1.803
Round:  47 User: 15 Train Loss: -1.780
Round:  47 User: 37 Train Loss: -1.779
Round:  47 User: 38 Train Loss: -1.788
count 4
Round:  47 Train Loss: -1.788
centeral clustering:
Round:  48 User: 1 Train Loss: -1.765
Round:  48 User: 12 Train Loss: -1.799
Round:  48 User: 27 Train Loss: -1.797
Round:  48 User: 30 Train Loss: -1.806
count 4
Round:  48 Train Loss: -1.792
centeral clustering:
Round:  49 User: 2 Train Loss: -1.808
Round:  49 User: 10 Train Loss: -1.807
Round:  49 User: 15 Train Loss: -1.779
Round:  49 User: 30 Train Loss: -1.791
count 4
Round:  49 Train Loss: -1.796
centeral clustering:
Global  NMI = 0.3417 ARI = 0.2040 F = 0.2954 ACC = 0.4282
Round:  50 User: 4 Train Loss: -1.791
Round:  50 User: 16 Train Loss: -1.793
Round:  50 User: 21 Train Loss: -1.792
Round:  50 User: 32 Train Loss: -1.804
count 4
Round:  50 Train Loss: -1.795
centeral clustering:
Round:  51 User: 5 Train Loss: -1.785
Round:  51 User: 16 Train Loss: -1.779
Round:  51 User: 19 Train Loss: -1.783
Round:  51 User: 29 Train Loss: -1.807
count 4
Round:  51 Train Loss: -1.789
centeral clustering:
Round:  52 User: 0 Train Loss: -1.781
Round:  52 User: 3 Train Loss: -1.810
Round:  52 User: 19 Train Loss: -1.777
Round:  52 User: 31 Train Loss: -1.784
count 4
Round:  52 Train Loss: -1.788
centeral clustering:
Round:  53 User: 3 Train Loss: -1.785
Round:  53 User: 15 Train Loss: -1.774
Round:  53 User: 24 Train Loss: -1.798
Round:  53 User: 25 Train Loss: -1.789
count 4
Round:  53 Train Loss: -1.787
centeral clustering:
Round:  54 User: 1 Train Loss: -1.783
Round:  54 User: 8 Train Loss: -1.790
Round:  54 User: 29 Train Loss: -1.795
Round:  54 User: 34 Train Loss: -1.767
count 4
Round:  54 Train Loss: -1.784
centeral clustering:
Global  NMI = 0.3507 ARI = 0.2328 F = 0.3194 ACC = 0.4081
Round:  55 User: 11 Train Loss: -1.800
Round:  55 User: 12 Train Loss: -1.797
Round:  55 User: 18 Train Loss: -1.768
Round:  55 User: 32 Train Loss: -1.803
count 4
Round:  55 Train Loss: -1.792
centeral clustering:
Round:  56 User: 7 Train Loss: -1.800
Round:  56 User: 19 Train Loss: -1.787
Round:  56 User: 20 Train Loss: -1.797
Round:  56 User: 21 Train Loss: -1.805
count 4
Round:  56 Train Loss: -1.797
centeral clustering:
Round:  57 User: 9 Train Loss: -1.788
Round:  57 User: 27 Train Loss: -1.802
Round:  57 User: 33 Train Loss: -1.784
Round:  57 User: 39 Train Loss: -1.799
count 4
Round:  57 Train Loss: -1.793
centeral clustering:
Round:  58 User: 18 Train Loss: -1.787
Round:  58 User: 22 Train Loss: -1.798
Round:  58 User: 31 Train Loss: -1.788
Round:  58 User: 36 Train Loss: -1.793
count 4
Round:  58 Train Loss: -1.791
centeral clustering:
Round:  59 User: 1 Train Loss: -1.772
Round:  59 User: 3 Train Loss: -1.816
Round:  59 User: 20 Train Loss: -1.811
Round:  59 User: 28 Train Loss: -1.800
count 4
Round:  59 Train Loss: -1.800
centeral clustering:
Global  NMI = 0.3564 ARI = 0.2299 F = 0.3229 ACC = 0.3988
Global  NMI = 0.3557 ARI = 0.2190 F = 0.3191 ACC = 0.3890
Round:  60 User: 9 Train Loss: -1.797
Round:  60 User: 23 Train Loss: -1.789
Round:  60 User: 30 Train Loss: -1.787
Round:  60 User: 34 Train Loss: -1.790
count 4
Round:  60 Train Loss: -1.791
centeral clustering:
Round:  61 User: 6 Train Loss: -1.811
Round:  61 User: 25 Train Loss: -1.794
Round:  61 User: 32 Train Loss: -1.797
Round:  61 User: 36 Train Loss: -1.821
count 4
Round:  61 Train Loss: -1.806
centeral clustering:
Round:  62 User: 0 Train Loss: -1.777
Round:  62 User: 3 Train Loss: -1.817
Round:  62 User: 7 Train Loss: -1.809
Round:  62 User: 27 Train Loss: -1.800
count 4
Round:  62 Train Loss: -1.801
centeral clustering:
Round:  63 User: 5 Train Loss: -1.801
Round:  63 User: 6 Train Loss: -1.796
Round:  63 User: 8 Train Loss: -1.786
Round:  63 User: 37 Train Loss: -1.792
count 4
Round:  63 Train Loss: -1.794
centeral clustering:
Round:  64 User: 11 Train Loss: -1.792
Round:  64 User: 13 Train Loss: -1.791
Round:  64 User: 20 Train Loss: -1.810
Round:  64 User: 27 Train Loss: -1.787
count 4
Round:  64 Train Loss: -1.795
centeral clustering:
Global  NMI = 0.3507 ARI = 0.2320 F = 0.3147 ACC = 0.4300
Round:  65 User: 19 Train Loss: -1.800
Round:  65 User: 27 Train Loss: -1.795
Round:  65 User: 36 Train Loss: -1.799
Round:  65 User: 37 Train Loss: -1.805
count 4
Round:  65 Train Loss: -1.800
centeral clustering:
Round:  66 User: 11 Train Loss: -1.800
Round:  66 User: 16 Train Loss: -1.796
Round:  66 User: 20 Train Loss: -1.811
Round:  66 User: 34 Train Loss: -1.778
count 4
Round:  66 Train Loss: -1.796
centeral clustering:
Round:  67 User: 7 Train Loss: -1.809
Round:  67 User: 29 Train Loss: -1.801
Round:  67 User: 34 Train Loss: -1.788
Round:  67 User: 36 Train Loss: -1.781
count 4
Round:  67 Train Loss: -1.795
centeral clustering:
Round:  68 User: 16 Train Loss: -1.775
Round:  68 User: 17 Train Loss: -1.806
Round:  68 User: 21 Train Loss: -1.826
Round:  68 User: 24 Train Loss: -1.793
count 4
Round:  68 Train Loss: -1.800
centeral clustering:
Round:  69 User: 6 Train Loss: -1.808
Round:  69 User: 11 Train Loss: -1.808
Round:  69 User: 35 Train Loss: -1.779
Round:  69 User: 39 Train Loss: -1.798
count 4
Round:  69 Train Loss: -1.798
centeral clustering:
Global  NMI = 0.3579 ARI = 0.2411 F = 0.3223 ACC = 0.4461
Round:  70 User: 11 Train Loss: -1.808
Round:  70 User: 20 Train Loss: -1.802
Round:  70 User: 25 Train Loss: -1.795
Round:  70 User: 33 Train Loss: -1.783
count 4
Round:  70 Train Loss: -1.797
centeral clustering:
Round:  71 User: 16 Train Loss: -1.799
Round:  71 User: 33 Train Loss: -1.815
Round:  71 User: 35 Train Loss: -1.799
Round:  71 User: 39 Train Loss: -1.809
count 4
Round:  71 Train Loss: -1.806
centeral clustering:
Round:  72 User: 11 Train Loss: -1.802
Round:  72 User: 18 Train Loss: -1.791
Round:  72 User: 26 Train Loss: -1.789
Round:  72 User: 28 Train Loss: -1.795
count 4
Round:  72 Train Loss: -1.794
centeral clustering:
Round:  73 User: 5 Train Loss: -1.801
Round:  73 User: 6 Train Loss: -1.802
Round:  73 User: 18 Train Loss: -1.789
Round:  73 User: 21 Train Loss: -1.807
count 4
Round:  73 Train Loss: -1.800
centeral clustering:
Round:  74 User: 15 Train Loss: -1.791
Round:  74 User: 22 Train Loss: -1.798
Round:  74 User: 26 Train Loss: -1.809
Round:  74 User: 37 Train Loss: -1.786
count 4
Round:  74 Train Loss: -1.796
centeral clustering:
Global  NMI = 0.3598 ARI = 0.2434 F = 0.3229 ACC = 0.4466
Round:  75 User: 8 Train Loss: -1.801
Round:  75 User: 9 Train Loss: -1.809
Round:  75 User: 22 Train Loss: -1.811
Round:  75 User: 24 Train Loss: -1.818
count 4
Round:  75 Train Loss: -1.810
centeral clustering:
Round:  76 User: 17 Train Loss: -1.785
Round:  76 User: 21 Train Loss: -1.806
Round:  76 User: 24 Train Loss: -1.809
Round:  76 User: 26 Train Loss: -1.792
count 4
Round:  76 Train Loss: -1.798
centeral clustering:
Round:  77 User: 1 Train Loss: -1.814
Round:  77 User: 2 Train Loss: -1.811
Round:  77 User: 14 Train Loss: -1.815
Round:  77 User: 32 Train Loss: -1.813
count 4
Round:  77 Train Loss: -1.814
centeral clustering:
Round:  78 User: 2 Train Loss: -1.824
Round:  78 User: 18 Train Loss: -1.808
Round:  78 User: 22 Train Loss: -1.804
Round:  78 User: 28 Train Loss: -1.801
count 4
Round:  78 Train Loss: -1.809
centeral clustering:
Round:  79 User: 0 Train Loss: -1.784
Round:  79 User: 4 Train Loss: -1.806
Round:  79 User: 11 Train Loss: -1.809
Round:  79 User: 20 Train Loss: -1.820
count 4
Round:  79 Train Loss: -1.805
centeral clustering:
Global  NMI = 0.3479 ARI = 0.2281 F = 0.3105 ACC = 0.4283
Global  NMI = 0.3329 ARI = 0.2168 F = 0.3072 ACC = 0.3865
Round:  80 User: 9 Train Loss: -1.819
Round:  80 User: 14 Train Loss: -1.805
Round:  80 User: 15 Train Loss: -1.793
Round:  80 User: 20 Train Loss: -1.820
count 4
Round:  80 Train Loss: -1.809
centeral clustering:
Round:  81 User: 3 Train Loss: -1.805
Round:  81 User: 5 Train Loss: -1.813
Round:  81 User: 17 Train Loss: -1.812
Round:  81 User: 32 Train Loss: -1.800
count 4
Round:  81 Train Loss: -1.807
centeral clustering:
Round:  82 User: 0 Train Loss: -1.793
Round:  82 User: 1 Train Loss: -1.803
Round:  82 User: 4 Train Loss: -1.808
Round:  82 User: 10 Train Loss: -1.812
count 4
Round:  82 Train Loss: -1.804
centeral clustering:
Round:  83 User: 0 Train Loss: -1.794
Round:  83 User: 8 Train Loss: -1.807
Round:  83 User: 13 Train Loss: -1.804
Round:  83 User: 24 Train Loss: -1.794
count 4
Round:  83 Train Loss: -1.800
centeral clustering:
Round:  84 User: 19 Train Loss: -1.799
Round:  84 User: 31 Train Loss: -1.811
Round:  84 User: 32 Train Loss: -1.793
Round:  84 User: 36 Train Loss: -1.806
count 4
Round:  84 Train Loss: -1.802
centeral clustering:
Global  NMI = 0.3643 ARI = 0.2516 F = 0.3299 ACC = 0.4607
Round:  85 User: 0 Train Loss: -1.807
Round:  85 User: 11 Train Loss: -1.821
Round:  85 User: 13 Train Loss: -1.810
Round:  85 User: 15 Train Loss: -1.805
count 4
Round:  85 Train Loss: -1.811
centeral clustering:
Round:  86 User: 11 Train Loss: -1.811
Round:  86 User: 17 Train Loss: -1.803
Round:  86 User: 21 Train Loss: -1.811
Round:  86 User: 38 Train Loss: -1.795
count 4
Round:  86 Train Loss: -1.805
centeral clustering:
Round:  87 User: 1 Train Loss: -1.804
Round:  87 User: 8 Train Loss: -1.810
Round:  87 User: 27 Train Loss: -1.814
Round:  87 User: 35 Train Loss: -1.803
count 4
Round:  87 Train Loss: -1.808
centeral clustering:
Round:  88 User: 4 Train Loss: -1.796
Round:  88 User: 6 Train Loss: -1.814
Round:  88 User: 8 Train Loss: -1.792
Round:  88 User: 9 Train Loss: -1.809
count 4
Round:  88 Train Loss: -1.803
centeral clustering:
Round:  89 User: 19 Train Loss: -1.820
Round:  89 User: 21 Train Loss: -1.819
Round:  89 User: 27 Train Loss: -1.823
Round:  89 User: 29 Train Loss: -1.825
count 4
Round:  89 Train Loss: -1.822
centeral clustering:
Global  NMI = 0.3437 ARI = 0.2277 F = 0.3127 ACC = 0.4007
Round:  90 User: 6 Train Loss: -1.810
Round:  90 User: 27 Train Loss: -1.810
Round:  90 User: 30 Train Loss: -1.815
Round:  90 User: 33 Train Loss: -1.810
count 4
Round:  90 Train Loss: -1.811
centeral clustering:
Round:  91 User: 15 Train Loss: -1.787
Round:  91 User: 17 Train Loss: -1.830
Round:  91 User: 21 Train Loss: -1.826
Round:  91 User: 33 Train Loss: -1.812
count 4
Round:  91 Train Loss: -1.813
centeral clustering:
Round:  92 User: 0 Train Loss: -1.800
Round:  92 User: 22 Train Loss: -1.813
Round:  92 User: 33 Train Loss: -1.807
Round:  92 User: 37 Train Loss: -1.807
count 4
Round:  92 Train Loss: -1.807
centeral clustering:
Round:  93 User: 5 Train Loss: -1.801
Round:  93 User: 15 Train Loss: -1.817
Round:  93 User: 34 Train Loss: -1.814
Round:  93 User: 36 Train Loss: -1.824
count 4
Round:  93 Train Loss: -1.814
centeral clustering:
Round:  94 User: 14 Train Loss: -1.822
Round:  94 User: 33 Train Loss: -1.814
Round:  94 User: 34 Train Loss: -1.801
Round:  94 User: 39 Train Loss: -1.808
count 4
Round:  94 Train Loss: -1.811
centeral clustering:
Global  NMI = 0.3537 ARI = 0.2352 F = 0.3161 ACC = 0.4294
Round:  95 User: 8 Train Loss: -1.794
Round:  95 User: 28 Train Loss: -1.804
Round:  95 User: 36 Train Loss: -1.823
Round:  95 User: 39 Train Loss: -1.822
count 4
Round:  95 Train Loss: -1.811
centeral clustering:
Round:  96 User: 13 Train Loss: -1.825
Round:  96 User: 22 Train Loss: -1.822
Round:  96 User: 26 Train Loss: -1.811
Round:  96 User: 35 Train Loss: -1.797
count 4
Round:  96 Train Loss: -1.814
centeral clustering:
Round:  97 User: 8 Train Loss: -1.807
Round:  97 User: 21 Train Loss: -1.812
Round:  97 User: 24 Train Loss: -1.812
Round:  97 User: 30 Train Loss: -1.794
count 4
Round:  97 Train Loss: -1.806
centeral clustering:
Round:  98 User: 4 Train Loss: -1.794
Round:  98 User: 6 Train Loss: -1.812
Round:  98 User: 29 Train Loss: -1.832
Round:  98 User: 36 Train Loss: -1.808
count 4
Round:  98 Train Loss: -1.811
centeral clustering:
Round:  99 User: 0 Train Loss: -1.811
Round:  99 User: 1 Train Loss: -1.794
Round:  99 User: 14 Train Loss: -1.818
Round:  99 User: 39 Train Loss: -1.826
count 4
Round:  99 Train Loss: -1.812
centeral clustering:
Global  NMI = 0.3612 ARI = 0.2353 F = 0.3165 ACC = 0.4293
Global  NMI = 0.3449 ARI = 0.2225 F = 0.3122 ACC = 0.3985
Round:  100 User: 7 Train Loss: -1.814
Round:  100 User: 20 Train Loss: -1.829
Round:  100 User: 26 Train Loss: -1.800
Round:  100 User: 29 Train Loss: -1.817
count 4
Round:  100 Train Loss: -1.815
centeral clustering:
Round:  101 User: 2 Train Loss: -1.828
Round:  101 User: 30 Train Loss: -1.806
Round:  101 User: 33 Train Loss: -1.817
Round:  101 User: 39 Train Loss: -1.822
count 4
Round:  101 Train Loss: -1.818
centeral clustering:
Round:  102 User: 8 Train Loss: -1.802
Round:  102 User: 11 Train Loss: -1.819
Round:  102 User: 29 Train Loss: -1.818
Round:  102 User: 39 Train Loss: -1.819
count 4
Round:  102 Train Loss: -1.815
centeral clustering:
Round:  103 User: 7 Train Loss: -1.816
Round:  103 User: 10 Train Loss: -1.812
Round:  103 User: 12 Train Loss: -1.822
Round:  103 User: 17 Train Loss: -1.815
count 4
Round:  103 Train Loss: -1.816
centeral clustering:
Round:  104 User: 4 Train Loss: -1.813
Round:  104 User: 14 Train Loss: -1.815
Round:  104 User: 23 Train Loss: -1.802
Round:  104 User: 24 Train Loss: -1.819
count 4
Round:  104 Train Loss: -1.812
centeral clustering:
Global  NMI = 0.3584 ARI = 0.2275 F = 0.3110 ACC = 0.4248
Round:  105 User: 5 Train Loss: -1.806
Round:  105 User: 7 Train Loss: -1.818
Round:  105 User: 16 Train Loss: -1.824
Round:  105 User: 34 Train Loss: -1.813
count 4
Round:  105 Train Loss: -1.815
centeral clustering:
Round:  106 User: 21 Train Loss: -1.822
Round:  106 User: 25 Train Loss: -1.808
Round:  106 User: 36 Train Loss: -1.810
Round:  106 User: 38 Train Loss: -1.816
count 4
Round:  106 Train Loss: -1.814
centeral clustering:
Round:  107 User: 1 Train Loss: -1.819
Round:  107 User: 7 Train Loss: -1.826
Round:  107 User: 14 Train Loss: -1.812
Round:  107 User: 21 Train Loss: -1.824
count 4
Round:  107 Train Loss: -1.820
centeral clustering:
Round:  108 User: 1 Train Loss: -1.824
Round:  108 User: 5 Train Loss: -1.811
Round:  108 User: 7 Train Loss: -1.822
Round:  108 User: 19 Train Loss: -1.834
count 4
Round:  108 Train Loss: -1.822
centeral clustering:
Round:  109 User: 9 Train Loss: -1.823
Round:  109 User: 25 Train Loss: -1.824
Round:  109 User: 34 Train Loss: -1.803
Round:  109 User: 37 Train Loss: -1.817
count 4
Round:  109 Train Loss: -1.817
centeral clustering:
Global  NMI = 0.3603 ARI = 0.2371 F = 0.3198 ACC = 0.4333
Round:  110 User: 1 Train Loss: -1.810
Round:  110 User: 3 Train Loss: -1.809
Round:  110 User: 23 Train Loss: -1.822
Round:  110 User: 37 Train Loss: -1.809
count 4
Round:  110 Train Loss: -1.813
centeral clustering:
Round:  111 User: 1 Train Loss: -1.811
Round:  111 User: 9 Train Loss: -1.816
Round:  111 User: 32 Train Loss: -1.817
Round:  111 User: 36 Train Loss: -1.812
count 4
Round:  111 Train Loss: -1.814
centeral clustering:
Round:  112 User: 14 Train Loss: -1.820
Round:  112 User: 18 Train Loss: -1.801
Round:  112 User: 21 Train Loss: -1.819
Round:  112 User: 24 Train Loss: -1.813
count 4
Round:  112 Train Loss: -1.813
centeral clustering:
Round:  113 User: 7 Train Loss: -1.817
Round:  113 User: 16 Train Loss: -1.813
Round:  113 User: 19 Train Loss: -1.806
Round:  113 User: 32 Train Loss: -1.814
count 4
Round:  113 Train Loss: -1.812
centeral clustering:
Round:  114 User: 16 Train Loss: -1.822
Round:  114 User: 19 Train Loss: -1.819
Round:  114 User: 33 Train Loss: -1.819
Round:  114 User: 34 Train Loss: -1.803
count 4
Round:  114 Train Loss: -1.816
centeral clustering:
Global  NMI = 0.3800 ARI = 0.2649 F = 0.3440 ACC = 0.4688
Round:  115 User: 11 Train Loss: -1.826
Round:  115 User: 22 Train Loss: -1.816
Round:  115 User: 30 Train Loss: -1.800
Round:  115 User: 35 Train Loss: -1.825
count 4
Round:  115 Train Loss: -1.817
centeral clustering:
Round:  116 User: 8 Train Loss: -1.811
Round:  116 User: 26 Train Loss: -1.811
Round:  116 User: 34 Train Loss: -1.830
Round:  116 User: 36 Train Loss: -1.828
count 4
Round:  116 Train Loss: -1.820
centeral clustering:
Round:  117 User: 3 Train Loss: -1.810
Round:  117 User: 7 Train Loss: -1.809
Round:  117 User: 19 Train Loss: -1.806
Round:  117 User: 29 Train Loss: -1.815
count 4
Round:  117 Train Loss: -1.810
centeral clustering:
Round:  118 User: 9 Train Loss: -1.805
Round:  118 User: 13 Train Loss: -1.806
Round:  118 User: 33 Train Loss: -1.806
Round:  118 User: 34 Train Loss: -1.823
count 4
Round:  118 Train Loss: -1.810
centeral clustering:
Round:  119 User: 16 Train Loss: -1.820
Round:  119 User: 20 Train Loss: -1.822
Round:  119 User: 21 Train Loss: -1.811
Round:  119 User: 27 Train Loss: -1.817
count 4
Round:  119 Train Loss: -1.817
centeral clustering:
Global  NMI = 0.3625 ARI = 0.2325 F = 0.3180 ACC = 0.4178
Global  NMI = 0.3716 ARI = 0.2500 F = 0.3426 ACC = 0.4055
Round:  120 User: 2 Train Loss: -1.823
Round:  120 User: 16 Train Loss: -1.826
Round:  120 User: 22 Train Loss: -1.816
Round:  120 User: 23 Train Loss: -1.815
count 4
Round:  120 Train Loss: -1.820
centeral clustering:
Round:  121 User: 5 Train Loss: -1.805
Round:  121 User: 7 Train Loss: -1.824
Round:  121 User: 14 Train Loss: -1.830
Round:  121 User: 26 Train Loss: -1.812
count 4
Round:  121 Train Loss: -1.818
centeral clustering:
Round:  122 User: 5 Train Loss: -1.803
Round:  122 User: 6 Train Loss: -1.819
Round:  122 User: 13 Train Loss: -1.811
Round:  122 User: 24 Train Loss: -1.814
count 4
Round:  122 Train Loss: -1.812
centeral clustering:
Round:  123 User: 11 Train Loss: -1.812
Round:  123 User: 19 Train Loss: -1.816
Round:  123 User: 24 Train Loss: -1.816
Round:  123 User: 25 Train Loss: -1.812
count 4
Round:  123 Train Loss: -1.814
centeral clustering:
Round:  124 User: 6 Train Loss: -1.824
Round:  124 User: 15 Train Loss: -1.809
Round:  124 User: 19 Train Loss: -1.820
Round:  124 User: 35 Train Loss: -1.810
count 4
Round:  124 Train Loss: -1.816
centeral clustering:
Global  NMI = 0.3760 ARI = 0.2521 F = 0.3317 ACC = 0.4658
Round:  125 User: 14 Train Loss: -1.818
Round:  125 User: 23 Train Loss: -1.813
Round:  125 User: 28 Train Loss: -1.814
Round:  125 User: 39 Train Loss: -1.815
count 4
Round:  125 Train Loss: -1.815
centeral clustering:
Round:  126 User: 5 Train Loss: -1.810
Round:  126 User: 22 Train Loss: -1.822
Round:  126 User: 37 Train Loss: -1.819
Round:  126 User: 39 Train Loss: -1.835
count 4
Round:  126 Train Loss: -1.821
centeral clustering:
Round:  127 User: 0 Train Loss: -1.806
Round:  127 User: 15 Train Loss: -1.820
Round:  127 User: 31 Train Loss: -1.813
Round:  127 User: 34 Train Loss: -1.823
count 4
Round:  127 Train Loss: -1.816
centeral clustering:
Round:  128 User: 6 Train Loss: -1.816
Round:  128 User: 19 Train Loss: -1.830
Round:  128 User: 25 Train Loss: -1.814
Round:  128 User: 32 Train Loss: -1.824
count 4
Round:  128 Train Loss: -1.821
centeral clustering:
Round:  129 User: 1 Train Loss: -1.816
Round:  129 User: 3 Train Loss: -1.804
Round:  129 User: 16 Train Loss: -1.817
Round:  129 User: 30 Train Loss: -1.817
count 4
Round:  129 Train Loss: -1.814
centeral clustering:
Global  NMI = 0.3756 ARI = 0.2485 F = 0.3296 ACC = 0.4542
Round:  130 User: 7 Train Loss: -1.813
Round:  130 User: 8 Train Loss: -1.812
Round:  130 User: 14 Train Loss: -1.819
Round:  130 User: 32 Train Loss: -1.812
count 4
Round:  130 Train Loss: -1.814
centeral clustering:
Round:  131 User: 0 Train Loss: -1.820
Round:  131 User: 10 Train Loss: -1.803
Round:  131 User: 11 Train Loss: -1.830
Round:  131 User: 26 Train Loss: -1.823
count 4
Round:  131 Train Loss: -1.819
centeral clustering:
Round:  132 User: 20 Train Loss: -1.832
Round:  132 User: 25 Train Loss: -1.827
Round:  132 User: 26 Train Loss: -1.804
Round:  132 User: 30 Train Loss: -1.816
count 4
Round:  132 Train Loss: -1.820
centeral clustering:
Round:  133 User: 4 Train Loss: -1.805
Round:  133 User: 6 Train Loss: -1.834
Round:  133 User: 13 Train Loss: -1.811
Round:  133 User: 29 Train Loss: -1.824
count 4
Round:  133 Train Loss: -1.819
centeral clustering:
Round:  134 User: 0 Train Loss: -1.802
Round:  134 User: 6 Train Loss: -1.815
Round:  134 User: 9 Train Loss: -1.833
Round:  134 User: 16 Train Loss: -1.815
count 4
Round:  134 Train Loss: -1.816
centeral clustering:
Global  NMI = 0.3837 ARI = 0.2641 F = 0.3410 ACC = 0.4692
Round:  135 User: 6 Train Loss: -1.820
Round:  135 User: 12 Train Loss: -1.833
Round:  135 User: 24 Train Loss: -1.832
Round:  135 User: 30 Train Loss: -1.820
count 4
Round:  135 Train Loss: -1.826
centeral clustering:
Round:  136 User: 4 Train Loss: -1.800
Round:  136 User: 28 Train Loss: -1.819
Round:  136 User: 32 Train Loss: -1.826
Round:  136 User: 34 Train Loss: -1.831
count 4
Round:  136 Train Loss: -1.819
centeral clustering:
Round:  137 User: 15 Train Loss: -1.804
Round:  137 User: 27 Train Loss: -1.823
Round:  137 User: 31 Train Loss: -1.814
Round:  137 User: 37 Train Loss: -1.806
count 4
Round:  137 Train Loss: -1.812
centeral clustering:
Round:  138 User: 8 Train Loss: -1.813
Round:  138 User: 9 Train Loss: -1.830
Round:  138 User: 16 Train Loss: -1.810
Round:  138 User: 36 Train Loss: -1.814
count 4
Round:  138 Train Loss: -1.817
centeral clustering:
Round:  139 User: 2 Train Loss: -1.818
Round:  139 User: 3 Train Loss: -1.825
Round:  139 User: 4 Train Loss: -1.826
Round:  139 User: 29 Train Loss: -1.815
count 4
Round:  139 Train Loss: -1.821
centeral clustering:
Global  NMI = 0.3862 ARI = 0.2748 F = 0.3496 ACC = 0.4809
Global  NMI = 0.3752 ARI = 0.2557 F = 0.3427 ACC = 0.4095
Round:  140 User: 5 Train Loss: -1.813
Round:  140 User: 13 Train Loss: -1.832
Round:  140 User: 19 Train Loss: -1.822
Round:  140 User: 29 Train Loss: -1.826
count 4
Round:  140 Train Loss: -1.823
centeral clustering:
Round:  141 User: 0 Train Loss: -1.798
Round:  141 User: 23 Train Loss: -1.826
Round:  141 User: 28 Train Loss: -1.813
Round:  141 User: 35 Train Loss: -1.819
count 4
Round:  141 Train Loss: -1.814
centeral clustering:
Round:  142 User: 1 Train Loss: -1.807
Round:  142 User: 7 Train Loss: -1.819
Round:  142 User: 23 Train Loss: -1.829
Round:  142 User: 31 Train Loss: -1.818
count 4
Round:  142 Train Loss: -1.819
centeral clustering:
Round:  143 User: 5 Train Loss: -1.833
Round:  143 User: 24 Train Loss: -1.829
Round:  143 User: 27 Train Loss: -1.837
Round:  143 User: 33 Train Loss: -1.828
count 4
Round:  143 Train Loss: -1.832
centeral clustering:
Round:  144 User: 5 Train Loss: -1.826
Round:  144 User: 13 Train Loss: -1.833
Round:  144 User: 14 Train Loss: -1.826
Round:  144 User: 31 Train Loss: -1.825
count 4
Round:  144 Train Loss: -1.827
centeral clustering:
Global  NMI = 0.3817 ARI = 0.2609 F = 0.3403 ACC = 0.4539
Round:  145 User: 4 Train Loss: -1.821
Round:  145 User: 25 Train Loss: -1.822
Round:  145 User: 30 Train Loss: -1.810
Round:  145 User: 37 Train Loss: -1.813
count 4
Round:  145 Train Loss: -1.817
centeral clustering:
Round:  146 User: 4 Train Loss: -1.831
Round:  146 User: 5 Train Loss: -1.813
Round:  146 User: 8 Train Loss: -1.818
Round:  146 User: 24 Train Loss: -1.834
count 4
Round:  146 Train Loss: -1.824
centeral clustering:
Round:  147 User: 1 Train Loss: -1.805
Round:  147 User: 3 Train Loss: -1.829
Round:  147 User: 20 Train Loss: -1.828
Round:  147 User: 28 Train Loss: -1.818
count 4
Round:  147 Train Loss: -1.820
centeral clustering:
Round:  148 User: 15 Train Loss: -1.818
Round:  148 User: 16 Train Loss: -1.813
Round:  148 User: 17 Train Loss: -1.818
Round:  148 User: 21 Train Loss: -1.829
count 4
Round:  148 Train Loss: -1.820
centeral clustering:
Round:  149 User: 9 Train Loss: -1.823
Round:  149 User: 18 Train Loss: -1.817
Round:  149 User: 29 Train Loss: -1.817
Round:  149 User: 39 Train Loss: -1.835
count 4
Round:  149 Train Loss: -1.823
centeral clustering:
Global  NMI = 0.3810 ARI = 0.2678 F = 0.3432 ACC = 0.4720
Round:  150 User: 3 Train Loss: -1.825
Round:  150 User: 11 Train Loss: -1.820
Round:  150 User: 38 Train Loss: -1.819
Round:  150 User: 39 Train Loss: -1.817
count 4
Round:  150 Train Loss: -1.820
centeral clustering:
Round:  151 User: 1 Train Loss: -1.818
Round:  151 User: 15 Train Loss: -1.820
Round:  151 User: 34 Train Loss: -1.816
Round:  151 User: 36 Train Loss: -1.832
count 4
Round:  151 Train Loss: -1.822
centeral clustering:
Round:  152 User: 6 Train Loss: -1.818
Round:  152 User: 11 Train Loss: -1.826
Round:  152 User: 28 Train Loss: -1.810
Round:  152 User: 39 Train Loss: -1.834
count 4
Round:  152 Train Loss: -1.822
centeral clustering:
Round:  153 User: 5 Train Loss: -1.826
Round:  153 User: 14 Train Loss: -1.827
Round:  153 User: 19 Train Loss: -1.824
Round:  153 User: 21 Train Loss: -1.814
count 4
Round:  153 Train Loss: -1.823
centeral clustering:
Round:  154 User: 26 Train Loss: -1.811
Round:  154 User: 29 Train Loss: -1.823
Round:  154 User: 32 Train Loss: -1.825
Round:  154 User: 34 Train Loss: -1.828
count 4
Round:  154 Train Loss: -1.822
centeral clustering:
Global  NMI = 0.3737 ARI = 0.2554 F = 0.3323 ACC = 0.4656
Round:  155 User: 5 Train Loss: -1.824
Round:  155 User: 6 Train Loss: -1.831
Round:  155 User: 11 Train Loss: -1.832
Round:  155 User: 20 Train Loss: -1.805
count 4
Round:  155 Train Loss: -1.823
centeral clustering:
Round:  156 User: 13 Train Loss: -1.812
Round:  156 User: 20 Train Loss: -1.826
Round:  156 User: 24 Train Loss: -1.830
Round:  156 User: 34 Train Loss: -1.828
count 4
Round:  156 Train Loss: -1.824
centeral clustering:
Round:  157 User: 9 Train Loss: -1.819
Round:  157 User: 14 Train Loss: -1.838
Round:  157 User: 19 Train Loss: -1.817
Round:  157 User: 28 Train Loss: -1.823
count 4
Round:  157 Train Loss: -1.824
centeral clustering:
Round:  158 User: 2 Train Loss: -1.830
Round:  158 User: 32 Train Loss: -1.839
Round:  158 User: 33 Train Loss: -1.818
Round:  158 User: 36 Train Loss: -1.825
count 4
Round:  158 Train Loss: -1.828
centeral clustering:
Round:  159 User: 7 Train Loss: -1.837
Round:  159 User: 21 Train Loss: -1.820
Round:  159 User: 31 Train Loss: -1.830
Round:  159 User: 36 Train Loss: -1.845
count 4
Round:  159 Train Loss: -1.833
centeral clustering:
Global  NMI = 0.3736 ARI = 0.2532 F = 0.3325 ACC = 0.4541
Global  NMI = 0.3799 ARI = 0.2573 F = 0.3389 ACC = 0.4565
Round:  160 User: 12 Train Loss: -1.815
Round:  160 User: 17 Train Loss: -1.825
Round:  160 User: 18 Train Loss: -1.816
Round:  160 User: 33 Train Loss: -1.817
count 4
Round:  160 Train Loss: -1.818
centeral clustering:
Round:  161 User: 10 Train Loss: -1.831
Round:  161 User: 11 Train Loss: -1.832
Round:  161 User: 22 Train Loss: -1.814
Round:  161 User: 36 Train Loss: -1.823
count 4
Round:  161 Train Loss: -1.825
centeral clustering:
Round:  162 User: 1 Train Loss: -1.824
Round:  162 User: 6 Train Loss: -1.820
Round:  162 User: 20 Train Loss: -1.834
Round:  162 User: 36 Train Loss: -1.832
count 4
Round:  162 Train Loss: -1.827
centeral clustering:
Round:  163 User: 8 Train Loss: -1.835
Round:  163 User: 22 Train Loss: -1.835
Round:  163 User: 36 Train Loss: -1.834
Round:  163 User: 37 Train Loss: -1.821
count 4
Round:  163 Train Loss: -1.831
centeral clustering:
Round:  164 User: 4 Train Loss: -1.815
Round:  164 User: 10 Train Loss: -1.813
Round:  164 User: 23 Train Loss: -1.817
Round:  164 User: 32 Train Loss: -1.843
count 4
Round:  164 Train Loss: -1.822
centeral clustering:
Global  NMI = 0.3772 ARI = 0.2530 F = 0.3320 ACC = 0.4504
Round:  165 User: 11 Train Loss: -1.829
Round:  165 User: 21 Train Loss: -1.817
Round:  165 User: 26 Train Loss: -1.824
Round:  165 User: 34 Train Loss: -1.819
count 4
Round:  165 Train Loss: -1.822
centeral clustering:
Round:  166 User: 10 Train Loss: -1.815
Round:  166 User: 16 Train Loss: -1.825
Round:  166 User: 20 Train Loss: -1.831
Round:  166 User: 33 Train Loss: -1.833
count 4
Round:  166 Train Loss: -1.826
centeral clustering:
Round:  167 User: 1 Train Loss: -1.827
Round:  167 User: 5 Train Loss: -1.835
Round:  167 User: 25 Train Loss: -1.818
Round:  167 User: 27 Train Loss: -1.835
count 4
Round:  167 Train Loss: -1.829
centeral clustering:
Round:  168 User: 10 Train Loss: -1.836
Round:  168 User: 11 Train Loss: -1.842
Round:  168 User: 21 Train Loss: -1.820
Round:  168 User: 24 Train Loss: -1.835
count 4
Round:  168 Train Loss: -1.834
centeral clustering:
Round:  169 User: 4 Train Loss: -1.839
Round:  169 User: 13 Train Loss: -1.820
Round:  169 User: 16 Train Loss: -1.836
Round:  169 User: 24 Train Loss: -1.834
count 4
Round:  169 Train Loss: -1.832
centeral clustering:
Global  NMI = 0.3796 ARI = 0.2606 F = 0.3400 ACC = 0.4433
Round:  170 User: 5 Train Loss: -1.816
Round:  170 User: 35 Train Loss: -1.824
Round:  170 User: 36 Train Loss: -1.820
Round:  170 User: 38 Train Loss: -1.832
count 4
Round:  170 Train Loss: -1.823
centeral clustering:
Round:  171 User: 0 Train Loss: -1.808
Round:  171 User: 1 Train Loss: -1.832
Round:  171 User: 6 Train Loss: -1.828
Round:  171 User: 24 Train Loss: -1.839
count 4
Round:  171 Train Loss: -1.827
centeral clustering:
Round:  172 User: 0 Train Loss: -1.824
Round:  172 User: 10 Train Loss: -1.830
Round:  172 User: 25 Train Loss: -1.828
Round:  172 User: 37 Train Loss: -1.824
count 4
Round:  172 Train Loss: -1.826
centeral clustering:
Round:  173 User: 4 Train Loss: -1.826
Round:  173 User: 8 Train Loss: -1.825
Round:  173 User: 11 Train Loss: -1.849
Round:  173 User: 14 Train Loss: -1.837
count 4
Round:  173 Train Loss: -1.834
centeral clustering:
Round:  174 User: 4 Train Loss: -1.814
Round:  174 User: 8 Train Loss: -1.837
Round:  174 User: 12 Train Loss: -1.842
Round:  174 User: 20 Train Loss: -1.828
count 4
Round:  174 Train Loss: -1.830
centeral clustering:
Global  NMI = 0.3817 ARI = 0.2637 F = 0.3416 ACC = 0.4491
Round:  175 User: 5 Train Loss: -1.821
Round:  175 User: 26 Train Loss: -1.815
Round:  175 User: 31 Train Loss: -1.816
Round:  175 User: 32 Train Loss: -1.841
count 4
Round:  175 Train Loss: -1.823
centeral clustering:
Round:  176 User: 0 Train Loss: -1.822
Round:  176 User: 4 Train Loss: -1.823
Round:  176 User: 16 Train Loss: -1.825
Round:  176 User: 37 Train Loss: -1.832
count 4
Round:  176 Train Loss: -1.826
centeral clustering:
Round:  177 User: 6 Train Loss: -1.815
Round:  177 User: 14 Train Loss: -1.836
Round:  177 User: 18 Train Loss: -1.830
Round:  177 User: 35 Train Loss: -1.837
count 4
Round:  177 Train Loss: -1.830
centeral clustering:
Round:  178 User: 3 Train Loss: -1.821
Round:  178 User: 4 Train Loss: -1.826
Round:  178 User: 6 Train Loss: -1.839
Round:  178 User: 20 Train Loss: -1.830
count 4
Round:  178 Train Loss: -1.829
centeral clustering:
Round:  179 User: 19 Train Loss: -1.826
Round:  179 User: 25 Train Loss: -1.824
Round:  179 User: 34 Train Loss: -1.833
Round:  179 User: 37 Train Loss: -1.836
count 4
Round:  179 Train Loss: -1.830
centeral clustering:
Global  NMI = 0.3923 ARI = 0.2845 F = 0.3624 ACC = 0.4534
Global  NMI = 0.3944 ARI = 0.2876 F = 0.3660 ACC = 0.4521
Round:  180 User: 4 Train Loss: -1.827
Round:  180 User: 9 Train Loss: -1.837
Round:  180 User: 12 Train Loss: -1.828
Round:  180 User: 23 Train Loss: -1.829
count 4
Round:  180 Train Loss: -1.830
centeral clustering:
Round:  181 User: 3 Train Loss: -1.835
Round:  181 User: 4 Train Loss: -1.837
Round:  181 User: 14 Train Loss: -1.840
Round:  181 User: 19 Train Loss: -1.841
count 4
Round:  181 Train Loss: -1.838
centeral clustering:
Round:  182 User: 1 Train Loss: -1.827
Round:  182 User: 7 Train Loss: -1.822
Round:  182 User: 13 Train Loss: -1.834
Round:  182 User: 39 Train Loss: -1.829
count 4
Round:  182 Train Loss: -1.828
centeral clustering:
Round:  183 User: 2 Train Loss: -1.834
Round:  183 User: 21 Train Loss: -1.836
Round:  183 User: 35 Train Loss: -1.811
Round:  183 User: 38 Train Loss: -1.830
count 4
Round:  183 Train Loss: -1.828
centeral clustering:
Round:  184 User: 3 Train Loss: -1.835
Round:  184 User: 8 Train Loss: -1.840
Round:  184 User: 11 Train Loss: -1.824
Round:  184 User: 16 Train Loss: -1.837
count 4
Round:  184 Train Loss: -1.834
centeral clustering:
Global  NMI = 0.3923 ARI = 0.2865 F = 0.3631 ACC = 0.4510
Round:  185 User: 3 Train Loss: -1.846
Round:  185 User: 17 Train Loss: -1.828
Round:  185 User: 28 Train Loss: -1.830
Round:  185 User: 38 Train Loss: -1.832
count 4
Round:  185 Train Loss: -1.834
centeral clustering:
Round:  186 User: 0 Train Loss: -1.832
Round:  186 User: 8 Train Loss: -1.817
Round:  186 User: 24 Train Loss: -1.849
Round:  186 User: 32 Train Loss: -1.846
count 4
Round:  186 Train Loss: -1.836
centeral clustering:
Round:  187 User: 1 Train Loss: -1.823
Round:  187 User: 23 Train Loss: -1.834
Round:  187 User: 31 Train Loss: -1.815
Round:  187 User: 36 Train Loss: -1.816
count 4
Round:  187 Train Loss: -1.822
centeral clustering:
Round:  188 User: 0 Train Loss: -1.827
Round:  188 User: 18 Train Loss: -1.836
Round:  188 User: 28 Train Loss: -1.832
Round:  188 User: 35 Train Loss: -1.827
count 4
Round:  188 Train Loss: -1.831
centeral clustering:
Round:  189 User: 2 Train Loss: -1.839
Round:  189 User: 15 Train Loss: -1.825
Round:  189 User: 21 Train Loss: -1.832
Round:  189 User: 37 Train Loss: -1.829
count 4
Round:  189 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.3937 ARI = 0.2856 F = 0.3628 ACC = 0.4493
Round:  190 User: 7 Train Loss: -1.824
Round:  190 User: 17 Train Loss: -1.827
Round:  190 User: 19 Train Loss: -1.822
Round:  190 User: 32 Train Loss: -1.843
count 4
Round:  190 Train Loss: -1.829
centeral clustering:
Round:  191 User: 1 Train Loss: -1.817
Round:  191 User: 9 Train Loss: -1.847
Round:  191 User: 22 Train Loss: -1.849
Round:  191 User: 32 Train Loss: -1.840
count 4
Round:  191 Train Loss: -1.838
centeral clustering:
Round:  192 User: 4 Train Loss: -1.829
Round:  192 User: 11 Train Loss: -1.840
Round:  192 User: 13 Train Loss: -1.839
Round:  192 User: 31 Train Loss: -1.815
count 4
Round:  192 Train Loss: -1.831
centeral clustering:
Round:  193 User: 6 Train Loss: -1.843
Round:  193 User: 16 Train Loss: -1.837
Round:  193 User: 33 Train Loss: -1.824
Round:  193 User: 34 Train Loss: -1.838
count 4
Round:  193 Train Loss: -1.835
centeral clustering:
Round:  194 User: 4 Train Loss: -1.849
Round:  194 User: 5 Train Loss: -1.832
Round:  194 User: 7 Train Loss: -1.835
Round:  194 User: 18 Train Loss: -1.829
count 4
Round:  194 Train Loss: -1.836
centeral clustering:
Global  NMI = 0.3905 ARI = 0.2766 F = 0.3553 ACC = 0.4509
Round:  195 User: 1 Train Loss: -1.828
Round:  195 User: 4 Train Loss: -1.833
Round:  195 User: 29 Train Loss: -1.846
Round:  195 User: 35 Train Loss: -1.841
count 4
Round:  195 Train Loss: -1.837
centeral clustering:
Round:  196 User: 2 Train Loss: -1.841
Round:  196 User: 8 Train Loss: -1.843
Round:  196 User: 14 Train Loss: -1.840
Round:  196 User: 39 Train Loss: -1.834
count 4
Round:  196 Train Loss: -1.839
centeral clustering:
Round:  197 User: 5 Train Loss: -1.825
Round:  197 User: 6 Train Loss: -1.840
Round:  197 User: 21 Train Loss: -1.831
Round:  197 User: 32 Train Loss: -1.841
count 4
Round:  197 Train Loss: -1.834
centeral clustering:
Round:  198 User: 3 Train Loss: -1.839
Round:  198 User: 6 Train Loss: -1.843
Round:  198 User: 8 Train Loss: -1.836
Round:  198 User: 23 Train Loss: -1.831
count 4
Round:  198 Train Loss: -1.837
centeral clustering:
Round:  199 User: 20 Train Loss: -1.834
Round:  199 User: 26 Train Loss: -1.829
Round:  199 User: 31 Train Loss: -1.832
Round:  199 User: 35 Train Loss: -1.841
count 4
Round:  199 Train Loss: -1.834
centeral clustering:
Global  NMI = 0.3834 ARI = 0.2616 F = 0.3420 ACC = 0.4276
Global  NMI = 0.3821 ARI = 0.2595 F = 0.3422 ACC = 0.4189
Round:  200 User: 7 Train Loss: -1.839
Round:  200 User: 28 Train Loss: -1.830
Round:  200 User: 32 Train Loss: -1.836
Round:  200 User: 34 Train Loss: -1.838
count 4
Round:  200 Train Loss: -1.836
centeral clustering:
Round:  201 User: 2 Train Loss: -1.836
Round:  201 User: 30 Train Loss: -1.847
Round:  201 User: 31 Train Loss: -1.832
Round:  201 User: 33 Train Loss: -1.830
count 4
Round:  201 Train Loss: -1.836
centeral clustering:
Round:  202 User: 4 Train Loss: -1.840
Round:  202 User: 12 Train Loss: -1.844
Round:  202 User: 19 Train Loss: -1.834
Round:  202 User: 29 Train Loss: -1.836
count 4
Round:  202 Train Loss: -1.838
centeral clustering:
Round:  203 User: 11 Train Loss: -1.834
Round:  203 User: 21 Train Loss: -1.840
Round:  203 User: 23 Train Loss: -1.823
Round:  203 User: 38 Train Loss: -1.841
count 4
Round:  203 Train Loss: -1.835
centeral clustering:
Round:  204 User: 1 Train Loss: -1.828
Round:  204 User: 16 Train Loss: -1.833
Round:  204 User: 34 Train Loss: -1.837
Round:  204 User: 35 Train Loss: -1.836
count 4
Round:  204 Train Loss: -1.834
centeral clustering:
Global  NMI = 0.3932 ARI = 0.2776 F = 0.3577 ACC = 0.4449
Round:  205 User: 0 Train Loss: -1.836
Round:  205 User: 3 Train Loss: -1.839
Round:  205 User: 16 Train Loss: -1.832
Round:  205 User: 38 Train Loss: -1.837
count 4
Round:  205 Train Loss: -1.836
centeral clustering:
Round:  206 User: 1 Train Loss: -1.848
Round:  206 User: 3 Train Loss: -1.853
Round:  206 User: 11 Train Loss: -1.847
Round:  206 User: 31 Train Loss: -1.846
count 4
Round:  206 Train Loss: -1.848
centeral clustering:
Round:  207 User: 17 Train Loss: -1.837
Round:  207 User: 23 Train Loss: -1.822
Round:  207 User: 29 Train Loss: -1.843
Round:  207 User: 36 Train Loss: -1.842
count 4
Round:  207 Train Loss: -1.836
centeral clustering:
Round:  208 User: 0 Train Loss: -1.831
Round:  208 User: 6 Train Loss: -1.841
Round:  208 User: 26 Train Loss: -1.819
Round:  208 User: 37 Train Loss: -1.831
count 4
Round:  208 Train Loss: -1.831
centeral clustering:
Round:  209 User: 18 Train Loss: -1.832
Round:  209 User: 23 Train Loss: -1.830
Round:  209 User: 28 Train Loss: -1.830
Round:  209 User: 34 Train Loss: -1.834
count 4
Round:  209 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.4088 ARI = 0.2947 F = 0.3668 ACC = 0.5058
Round:  210 User: 7 Train Loss: -1.842
Round:  210 User: 9 Train Loss: -1.847
Round:  210 User: 29 Train Loss: -1.852
Round:  210 User: 36 Train Loss: -1.824
count 4
Round:  210 Train Loss: -1.841
centeral clustering:
Round:  211 User: 0 Train Loss: -1.832
Round:  211 User: 2 Train Loss: -1.845
Round:  211 User: 28 Train Loss: -1.831
Round:  211 User: 32 Train Loss: -1.844
count 4
Round:  211 Train Loss: -1.838
centeral clustering:
Round:  212 User: 4 Train Loss: -1.850
Round:  212 User: 8 Train Loss: -1.828
Round:  212 User: 17 Train Loss: -1.844
Round:  212 User: 30 Train Loss: -1.841
count 4
Round:  212 Train Loss: -1.840
centeral clustering:
Round:  213 User: 4 Train Loss: -1.836
Round:  213 User: 19 Train Loss: -1.840
Round:  213 User: 35 Train Loss: -1.841
Round:  213 User: 39 Train Loss: -1.826
count 4
Round:  213 Train Loss: -1.836
centeral clustering:
Round:  214 User: 12 Train Loss: -1.836
Round:  214 User: 16 Train Loss: -1.832
Round:  214 User: 26 Train Loss: -1.838
Round:  214 User: 33 Train Loss: -1.835
count 4
Round:  214 Train Loss: -1.835
centeral clustering:
Global  NMI = 0.3913 ARI = 0.2737 F = 0.3529 ACC = 0.4440
Round:  215 User: 21 Train Loss: -1.846
Round:  215 User: 25 Train Loss: -1.853
Round:  215 User: 32 Train Loss: -1.837
Round:  215 User: 36 Train Loss: -1.831
count 4
Round:  215 Train Loss: -1.842
centeral clustering:
Round:  216 User: 0 Train Loss: -1.838
Round:  216 User: 2 Train Loss: -1.835
Round:  216 User: 18 Train Loss: -1.835
Round:  216 User: 24 Train Loss: -1.829
count 4
Round:  216 Train Loss: -1.834
centeral clustering:
Round:  217 User: 13 Train Loss: -1.838
Round:  217 User: 15 Train Loss: -1.833
Round:  217 User: 17 Train Loss: -1.844
Round:  217 User: 27 Train Loss: -1.851
count 4
Round:  217 Train Loss: -1.841
centeral clustering:
Round:  218 User: 6 Train Loss: -1.833
Round:  218 User: 8 Train Loss: -1.840
Round:  218 User: 10 Train Loss: -1.843
Round:  218 User: 34 Train Loss: -1.842
count 4
Round:  218 Train Loss: -1.840
centeral clustering:
Round:  219 User: 17 Train Loss: -1.855
Round:  219 User: 18 Train Loss: -1.839
Round:  219 User: 22 Train Loss: -1.827
Round:  219 User: 34 Train Loss: -1.838
count 4
Round:  219 Train Loss: -1.840
centeral clustering:
Global  NMI = 0.3977 ARI = 0.2813 F = 0.3602 ACC = 0.4716
Global  NMI = 0.3950 ARI = 0.2763 F = 0.3585 ACC = 0.4621
Round:  220 User: 5 Train Loss: -1.833
Round:  220 User: 16 Train Loss: -1.845
Round:  220 User: 26 Train Loss: -1.840
Round:  220 User: 34 Train Loss: -1.839
count 4
Round:  220 Train Loss: -1.839
centeral clustering:
Round:  221 User: 3 Train Loss: -1.844
Round:  221 User: 9 Train Loss: -1.847
Round:  221 User: 17 Train Loss: -1.845
Round:  221 User: 36 Train Loss: -1.850
count 4
Round:  221 Train Loss: -1.847
centeral clustering:
Round:  222 User: 1 Train Loss: -1.830
Round:  222 User: 17 Train Loss: -1.851
Round:  222 User: 19 Train Loss: -1.838
Round:  222 User: 32 Train Loss: -1.856
count 4
Round:  222 Train Loss: -1.843
centeral clustering:
Round:  223 User: 0 Train Loss: -1.827
Round:  223 User: 2 Train Loss: -1.853
Round:  223 User: 8 Train Loss: -1.846
Round:  223 User: 31 Train Loss: -1.837
count 4
Round:  223 Train Loss: -1.841
centeral clustering:
Round:  224 User: 7 Train Loss: -1.846
Round:  224 User: 17 Train Loss: -1.835
Round:  224 User: 33 Train Loss: -1.839
Round:  224 User: 37 Train Loss: -1.828
count 4
Round:  224 Train Loss: -1.837
centeral clustering:
Global  NMI = 0.3971 ARI = 0.2854 F = 0.3624 ACC = 0.4432
Round:  225 User: 5 Train Loss: -1.834
Round:  225 User: 20 Train Loss: -1.845
Round:  225 User: 27 Train Loss: -1.827
Round:  225 User: 31 Train Loss: -1.843
count 4
Round:  225 Train Loss: -1.837
centeral clustering:
Round:  226 User: 4 Train Loss: -1.829
Round:  226 User: 10 Train Loss: -1.844
Round:  226 User: 30 Train Loss: -1.849
Round:  226 User: 32 Train Loss: -1.855
count 4
Round:  226 Train Loss: -1.845
centeral clustering:
Round:  227 User: 3 Train Loss: -1.849
Round:  227 User: 20 Train Loss: -1.838
Round:  227 User: 21 Train Loss: -1.834
Round:  227 User: 24 Train Loss: -1.844
count 4
Round:  227 Train Loss: -1.841
centeral clustering:
Round:  228 User: 5 Train Loss: -1.832
Round:  228 User: 11 Train Loss: -1.841
Round:  228 User: 14 Train Loss: -1.837
Round:  228 User: 15 Train Loss: -1.833
count 4
Round:  228 Train Loss: -1.836
centeral clustering:
Round:  229 User: 5 Train Loss: -1.852
Round:  229 User: 18 Train Loss: -1.834
Round:  229 User: 25 Train Loss: -1.849
Round:  229 User: 39 Train Loss: -1.855
count 4
Round:  229 Train Loss: -1.848
centeral clustering:
Global  NMI = 0.3998 ARI = 0.2949 F = 0.3733 ACC = 0.4354
Round:  230 User: 3 Train Loss: -1.849
Round:  230 User: 8 Train Loss: -1.844
Round:  230 User: 18 Train Loss: -1.854
Round:  230 User: 27 Train Loss: -1.841
count 4
Round:  230 Train Loss: -1.847
centeral clustering:
Round:  231 User: 8 Train Loss: -1.832
Round:  231 User: 21 Train Loss: -1.853
Round:  231 User: 28 Train Loss: -1.844
Round:  231 User: 36 Train Loss: -1.832
count 4
Round:  231 Train Loss: -1.840
centeral clustering:
Round:  232 User: 3 Train Loss: -1.830
Round:  232 User: 18 Train Loss: -1.841
Round:  232 User: 23 Train Loss: -1.830
Round:  232 User: 39 Train Loss: -1.859
count 4
Round:  232 Train Loss: -1.840
centeral clustering:
Round:  233 User: 24 Train Loss: -1.845
Round:  233 User: 32 Train Loss: -1.862
Round:  233 User: 33 Train Loss: -1.844
Round:  233 User: 35 Train Loss: -1.855
count 4
Round:  233 Train Loss: -1.851
centeral clustering:
Round:  234 User: 9 Train Loss: -1.838
Round:  234 User: 14 Train Loss: -1.827
Round:  234 User: 15 Train Loss: -1.838
Round:  234 User: 33 Train Loss: -1.843
count 4
Round:  234 Train Loss: -1.837
centeral clustering:
Global  NMI = 0.4032 ARI = 0.2976 F = 0.3692 ACC = 0.4996
Round:  235 User: 1 Train Loss: -1.830
Round:  235 User: 9 Train Loss: -1.840
Round:  235 User: 17 Train Loss: -1.848
Round:  235 User: 30 Train Loss: -1.837
count 4
Round:  235 Train Loss: -1.839
centeral clustering:
Round:  236 User: 11 Train Loss: -1.850
Round:  236 User: 22 Train Loss: -1.839
Round:  236 User: 23 Train Loss: -1.836
Round:  236 User: 30 Train Loss: -1.846
count 4
Round:  236 Train Loss: -1.843
centeral clustering:
Round:  237 User: 11 Train Loss: -1.855
Round:  237 User: 15 Train Loss: -1.840
Round:  237 User: 37 Train Loss: -1.844
Round:  237 User: 39 Train Loss: -1.851
count 4
Round:  237 Train Loss: -1.847
centeral clustering:
Round:  238 User: 5 Train Loss: -1.847
Round:  238 User: 11 Train Loss: -1.843
Round:  238 User: 25 Train Loss: -1.835
Round:  238 User: 26 Train Loss: -1.847
count 4
Round:  238 Train Loss: -1.843
centeral clustering:
Round:  239 User: 2 Train Loss: -1.859
Round:  239 User: 4 Train Loss: -1.833
Round:  239 User: 27 Train Loss: -1.838
Round:  239 User: 30 Train Loss: -1.839
count 4
Round:  239 Train Loss: -1.842
centeral clustering:
Global  NMI = 0.4084 ARI = 0.2978 F = 0.3696 ACC = 0.5058
Global  NMI = 0.3902 ARI = 0.2826 F = 0.3638 ACC = 0.4421
Round:  240 User: 4 Train Loss: -1.849
Round:  240 User: 20 Train Loss: -1.845
Round:  240 User: 27 Train Loss: -1.841
Round:  240 User: 34 Train Loss: -1.844
count 4
Round:  240 Train Loss: -1.845
centeral clustering:
Round:  241 User: 9 Train Loss: -1.850
Round:  241 User: 14 Train Loss: -1.853
Round:  241 User: 23 Train Loss: -1.842
Round:  241 User: 27 Train Loss: -1.846
count 4
Round:  241 Train Loss: -1.848
centeral clustering:
Round:  242 User: 0 Train Loss: -1.833
Round:  242 User: 25 Train Loss: -1.849
Round:  242 User: 28 Train Loss: -1.844
Round:  242 User: 38 Train Loss: -1.841
count 4
Round:  242 Train Loss: -1.842
centeral clustering:
Round:  243 User: 1 Train Loss: -1.833
Round:  243 User: 15 Train Loss: -1.840
Round:  243 User: 20 Train Loss: -1.860
Round:  243 User: 39 Train Loss: -1.860
count 4
Round:  243 Train Loss: -1.848
centeral clustering:
Round:  244 User: 3 Train Loss: -1.840
Round:  244 User: 17 Train Loss: -1.851
Round:  244 User: 28 Train Loss: -1.834
Round:  244 User: 35 Train Loss: -1.852
count 4
Round:  244 Train Loss: -1.844
centeral clustering:
Global  NMI = 0.3862 ARI = 0.2743 F = 0.3512 ACC = 0.4506
Round:  245 User: 0 Train Loss: -1.841
Round:  245 User: 21 Train Loss: -1.848
Round:  245 User: 24 Train Loss: -1.838
Round:  245 User: 31 Train Loss: -1.838
count 4
Round:  245 Train Loss: -1.841
centeral clustering:
Round:  246 User: 1 Train Loss: -1.842
Round:  246 User: 12 Train Loss: -1.836
Round:  246 User: 26 Train Loss: -1.839
Round:  246 User: 28 Train Loss: -1.830
count 4
Round:  246 Train Loss: -1.837
centeral clustering:
Round:  247 User: 10 Train Loss: -1.846
Round:  247 User: 11 Train Loss: -1.853
Round:  247 User: 12 Train Loss: -1.847
Round:  247 User: 29 Train Loss: -1.854
count 4
Round:  247 Train Loss: -1.850
centeral clustering:
Round:  248 User: 10 Train Loss: -1.855
Round:  248 User: 12 Train Loss: -1.855
Round:  248 User: 15 Train Loss: -1.844
Round:  248 User: 28 Train Loss: -1.849
count 4
Round:  248 Train Loss: -1.851
centeral clustering:
Round:  249 User: 11 Train Loss: -1.845
Round:  249 User: 28 Train Loss: -1.842
Round:  249 User: 32 Train Loss: -1.852
Round:  249 User: 39 Train Loss: -1.849
count 4
Round:  249 Train Loss: -1.847
centeral clustering:
Global  NMI = 0.3960 ARI = 0.2789 F = 0.3549 ACC = 0.4745
Round:  250 User: 13 Train Loss: -1.842
Round:  250 User: 15 Train Loss: -1.839
Round:  250 User: 25 Train Loss: -1.850
Round:  250 User: 36 Train Loss: -1.851
count 4
Round:  250 Train Loss: -1.846
centeral clustering:
Round:  251 User: 24 Train Loss: -1.841
Round:  251 User: 26 Train Loss: -1.837
Round:  251 User: 30 Train Loss: -1.838
Round:  251 User: 35 Train Loss: -1.840
count 4
Round:  251 Train Loss: -1.839
centeral clustering:
Round:  252 User: 6 Train Loss: -1.841
Round:  252 User: 14 Train Loss: -1.843
Round:  252 User: 24 Train Loss: -1.856
Round:  252 User: 25 Train Loss: -1.847
count 4
Round:  252 Train Loss: -1.847
centeral clustering:
Round:  253 User: 3 Train Loss: -1.849
Round:  253 User: 9 Train Loss: -1.845
Round:  253 User: 12 Train Loss: -1.845
Round:  253 User: 26 Train Loss: -1.841
count 4
Round:  253 Train Loss: -1.845
centeral clustering:
Round:  254 User: 8 Train Loss: -1.822
Round:  254 User: 11 Train Loss: -1.835
Round:  254 User: 28 Train Loss: -1.831
Round:  254 User: 36 Train Loss: -1.838
count 4
Round:  254 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.3970 ARI = 0.2768 F = 0.3535 ACC = 0.4825
Round:  255 User: 5 Train Loss: -1.843
Round:  255 User: 8 Train Loss: -1.827
Round:  255 User: 24 Train Loss: -1.850
Round:  255 User: 28 Train Loss: -1.839
count 4
Round:  255 Train Loss: -1.840
centeral clustering:
Round:  256 User: 4 Train Loss: -1.826
Round:  256 User: 24 Train Loss: -1.857
Round:  256 User: 37 Train Loss: -1.846
Round:  256 User: 38 Train Loss: -1.841
count 4
Round:  256 Train Loss: -1.843
centeral clustering:
Round:  257 User: 5 Train Loss: -1.854
Round:  257 User: 6 Train Loss: -1.840
Round:  257 User: 28 Train Loss: -1.825
Round:  257 User: 33 Train Loss: -1.835
count 4
Round:  257 Train Loss: -1.839
centeral clustering:
Round:  258 User: 9 Train Loss: -1.840
Round:  258 User: 12 Train Loss: -1.853
Round:  258 User: 16 Train Loss: -1.853
Round:  258 User: 27 Train Loss: -1.846
count 4
Round:  258 Train Loss: -1.848
centeral clustering:
Round:  259 User: 1 Train Loss: -1.836
Round:  259 User: 6 Train Loss: -1.845
Round:  259 User: 17 Train Loss: -1.836
Round:  259 User: 19 Train Loss: -1.838
count 4
Round:  259 Train Loss: -1.839
centeral clustering:
Global  NMI = 0.4011 ARI = 0.2883 F = 0.3628 ACC = 0.4883
Global  NMI = 0.4009 ARI = 0.2900 F = 0.3648 ACC = 0.4950
Round:  260 User: 6 Train Loss: -1.830
Round:  260 User: 19 Train Loss: -1.849
Round:  260 User: 35 Train Loss: -1.839
Round:  260 User: 37 Train Loss: -1.832
count 4
Round:  260 Train Loss: -1.838
centeral clustering:
Round:  261 User: 1 Train Loss: -1.839
Round:  261 User: 3 Train Loss: -1.843
Round:  261 User: 9 Train Loss: -1.837
Round:  261 User: 24 Train Loss: -1.843
count 4
Round:  261 Train Loss: -1.840
centeral clustering:
Round:  262 User: 29 Train Loss: -1.836
Round:  262 User: 30 Train Loss: -1.834
Round:  262 User: 32 Train Loss: -1.852
Round:  262 User: 39 Train Loss: -1.843
count 4
Round:  262 Train Loss: -1.841
centeral clustering:
Round:  263 User: 0 Train Loss: -1.824
Round:  263 User: 20 Train Loss: -1.844
Round:  263 User: 21 Train Loss: -1.826
Round:  263 User: 24 Train Loss: -1.840
count 4
Round:  263 Train Loss: -1.833
centeral clustering:
Round:  264 User: 10 Train Loss: -1.840
Round:  264 User: 16 Train Loss: -1.836
Round:  264 User: 18 Train Loss: -1.831
Round:  264 User: 20 Train Loss: -1.844
count 4
Round:  264 Train Loss: -1.838
centeral clustering:
Global  NMI = 0.3975 ARI = 0.2841 F = 0.3583 ACC = 0.5035
Round:  265 User: 3 Train Loss: -1.833
Round:  265 User: 4 Train Loss: -1.843
Round:  265 User: 16 Train Loss: -1.835
Round:  265 User: 31 Train Loss: -1.840
count 4
Round:  265 Train Loss: -1.838
centeral clustering:
Round:  266 User: 29 Train Loss: -1.837
Round:  266 User: 34 Train Loss: -1.830
Round:  266 User: 35 Train Loss: -1.826
Round:  266 User: 39 Train Loss: -1.842
count 4
Round:  266 Train Loss: -1.834
centeral clustering:
Round:  267 User: 7 Train Loss: -1.847
Round:  267 User: 10 Train Loss: -1.830
Round:  267 User: 27 Train Loss: -1.836
Round:  267 User: 35 Train Loss: -1.836
count 4
Round:  267 Train Loss: -1.837
centeral clustering:
Round:  268 User: 3 Train Loss: -1.836
Round:  268 User: 17 Train Loss: -1.848
Round:  268 User: 28 Train Loss: -1.831
Round:  268 User: 38 Train Loss: -1.827
count 4
Round:  268 Train Loss: -1.836
centeral clustering:
Round:  269 User: 8 Train Loss: -1.838
Round:  269 User: 18 Train Loss: -1.846
Round:  269 User: 20 Train Loss: -1.847
Round:  269 User: 32 Train Loss: -1.843
count 4
Round:  269 Train Loss: -1.844
centeral clustering:
Global  NMI = 0.4071 ARI = 0.2929 F = 0.3659 ACC = 0.4900
Round:  270 User: 10 Train Loss: -1.842
Round:  270 User: 27 Train Loss: -1.838
Round:  270 User: 36 Train Loss: -1.841
Round:  270 User: 37 Train Loss: -1.849
count 4
Round:  270 Train Loss: -1.842
centeral clustering:
Round:  271 User: 1 Train Loss: -1.837
Round:  271 User: 18 Train Loss: -1.832
Round:  271 User: 25 Train Loss: -1.848
Round:  271 User: 37 Train Loss: -1.845
count 4
Round:  271 Train Loss: -1.841
centeral clustering:
Round:  272 User: 9 Train Loss: -1.840
Round:  272 User: 14 Train Loss: -1.842
Round:  272 User: 29 Train Loss: -1.845
Round:  272 User: 38 Train Loss: -1.831
count 4
Round:  272 Train Loss: -1.840
centeral clustering:
Round:  273 User: 9 Train Loss: -1.846
Round:  273 User: 17 Train Loss: -1.852
Round:  273 User: 20 Train Loss: -1.844
Round:  273 User: 33 Train Loss: -1.846
count 4
Round:  273 Train Loss: -1.847
centeral clustering:
Round:  274 User: 0 Train Loss: -1.827
Round:  274 User: 17 Train Loss: -1.850
Round:  274 User: 24 Train Loss: -1.849
Round:  274 User: 26 Train Loss: -1.839
count 4
Round:  274 Train Loss: -1.841
centeral clustering:
Global  NMI = 0.4084 ARI = 0.2944 F = 0.3666 ACC = 0.5005
Round:  275 User: 24 Train Loss: -1.838
Round:  275 User: 27 Train Loss: -1.839
Round:  275 User: 31 Train Loss: -1.831
Round:  275 User: 38 Train Loss: -1.826
count 4
Round:  275 Train Loss: -1.834
centeral clustering:
Round:  276 User: 24 Train Loss: -1.855
Round:  276 User: 26 Train Loss: -1.832
Round:  276 User: 27 Train Loss: -1.835
Round:  276 User: 33 Train Loss: -1.835
count 4
Round:  276 Train Loss: -1.839
centeral clustering:
Round:  277 User: 4 Train Loss: -1.837
Round:  277 User: 19 Train Loss: -1.835
Round:  277 User: 32 Train Loss: -1.847
Round:  277 User: 39 Train Loss: -1.854
count 4
Round:  277 Train Loss: -1.843
centeral clustering:
Round:  278 User: 5 Train Loss: -1.843
Round:  278 User: 26 Train Loss: -1.841
Round:  278 User: 27 Train Loss: -1.850
Round:  278 User: 34 Train Loss: -1.838
count 4
Round:  278 Train Loss: -1.843
centeral clustering:
Round:  279 User: 19 Train Loss: -1.845
Round:  279 User: 21 Train Loss: -1.824
Round:  279 User: 25 Train Loss: -1.831
Round:  279 User: 28 Train Loss: -1.825
count 4
Round:  279 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.4040 ARI = 0.2882 F = 0.3629 ACC = 0.4754
Global  NMI = 0.4033 ARI = 0.2863 F = 0.3630 ACC = 0.4824
Round:  280 User: 24 Train Loss: -1.852
Round:  280 User: 28 Train Loss: -1.828
Round:  280 User: 32 Train Loss: -1.852
Round:  280 User: 39 Train Loss: -1.836
count 4
Round:  280 Train Loss: -1.842
centeral clustering:
Round:  281 User: 3 Train Loss: -1.833
Round:  281 User: 6 Train Loss: -1.837
Round:  281 User: 27 Train Loss: -1.832
Round:  281 User: 28 Train Loss: -1.829
count 4
Round:  281 Train Loss: -1.833
centeral clustering:
Round:  282 User: 6 Train Loss: -1.824
Round:  282 User: 14 Train Loss: -1.844
Round:  282 User: 22 Train Loss: -1.832
Round:  282 User: 24 Train Loss: -1.851
count 4
Round:  282 Train Loss: -1.838
centeral clustering:
Round:  283 User: 23 Train Loss: -1.814
Round:  283 User: 26 Train Loss: -1.829
Round:  283 User: 33 Train Loss: -1.816
Round:  283 User: 39 Train Loss: -1.839
count 4
Round:  283 Train Loss: -1.824
centeral clustering:
Round:  284 User: 12 Train Loss: -1.834
Round:  284 User: 27 Train Loss: -1.831
Round:  284 User: 30 Train Loss: -1.824
Round:  284 User: 39 Train Loss: -1.836
count 4
Round:  284 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.3947 ARI = 0.2816 F = 0.3559 ACC = 0.4909
Round:  285 User: 6 Train Loss: -1.830
Round:  285 User: 7 Train Loss: -1.832
Round:  285 User: 22 Train Loss: -1.837
Round:  285 User: 38 Train Loss: -1.843
count 4
Round:  285 Train Loss: -1.836
centeral clustering:
Round:  286 User: 3 Train Loss: -1.840
Round:  286 User: 35 Train Loss: -1.825
Round:  286 User: 37 Train Loss: -1.835
Round:  286 User: 38 Train Loss: -1.843
count 4
Round:  286 Train Loss: -1.836
centeral clustering:
Round:  287 User: 7 Train Loss: -1.836
Round:  287 User: 14 Train Loss: -1.842
Round:  287 User: 18 Train Loss: -1.839
Round:  287 User: 34 Train Loss: -1.835
count 4
Round:  287 Train Loss: -1.838
centeral clustering:
Round:  288 User: 1 Train Loss: -1.827
Round:  288 User: 9 Train Loss: -1.843
Round:  288 User: 15 Train Loss: -1.831
Round:  288 User: 33 Train Loss: -1.825
count 4
Round:  288 Train Loss: -1.832
centeral clustering:
Round:  289 User: 2 Train Loss: -1.837
Round:  289 User: 3 Train Loss: -1.836
Round:  289 User: 16 Train Loss: -1.825
Round:  289 User: 28 Train Loss: -1.828
count 4
Round:  289 Train Loss: -1.831
centeral clustering:
Global  NMI = 0.3873 ARI = 0.2715 F = 0.3457 ACC = 0.4838
Round:  290 User: 7 Train Loss: -1.830
Round:  290 User: 14 Train Loss: -1.848
Round:  290 User: 25 Train Loss: -1.839
Round:  290 User: 32 Train Loss: -1.841
count 4
Round:  290 Train Loss: -1.839
centeral clustering:
Round:  291 User: 0 Train Loss: -1.820
Round:  291 User: 2 Train Loss: -1.841
Round:  291 User: 19 Train Loss: -1.833
Round:  291 User: 25 Train Loss: -1.841
count 4
Round:  291 Train Loss: -1.834
centeral clustering:
Round:  292 User: 24 Train Loss: -1.839
Round:  292 User: 26 Train Loss: -1.833
Round:  292 User: 27 Train Loss: -1.845
Round:  292 User: 35 Train Loss: -1.842
count 4
Round:  292 Train Loss: -1.840
centeral clustering:
Round:  293 User: 12 Train Loss: -1.823
Round:  293 User: 23 Train Loss: -1.829
Round:  293 User: 31 Train Loss: -1.836
Round:  293 User: 39 Train Loss: -1.844
count 4
Round:  293 Train Loss: -1.833
centeral clustering:
Round:  294 User: 13 Train Loss: -1.831
Round:  294 User: 18 Train Loss: -1.831
Round:  294 User: 26 Train Loss: -1.818
Round:  294 User: 36 Train Loss: -1.829
count 4
Round:  294 Train Loss: -1.827
centeral clustering:
Global  NMI = 0.4070 ARI = 0.2947 F = 0.3674 ACC = 0.5044
Round:  295 User: 14 Train Loss: -1.840
Round:  295 User: 23 Train Loss: -1.832
Round:  295 User: 25 Train Loss: -1.826
Round:  295 User: 29 Train Loss: -1.845
count 4
Round:  295 Train Loss: -1.836
centeral clustering:
Round:  296 User: 1 Train Loss: -1.831
Round:  296 User: 6 Train Loss: -1.832
Round:  296 User: 16 Train Loss: -1.828
Round:  296 User: 28 Train Loss: -1.828
count 4
Round:  296 Train Loss: -1.830
centeral clustering:
Round:  297 User: 3 Train Loss: -1.841
Round:  297 User: 10 Train Loss: -1.835
Round:  297 User: 19 Train Loss: -1.841
Round:  297 User: 21 Train Loss: -1.811
count 4
Round:  297 Train Loss: -1.832
centeral clustering:
Round:  298 User: 8 Train Loss: -1.818
Round:  298 User: 9 Train Loss: -1.833
Round:  298 User: 19 Train Loss: -1.835
Round:  298 User: 36 Train Loss: -1.835
count 4
Round:  298 Train Loss: -1.830
centeral clustering:
Round:  299 User: 3 Train Loss: -1.841
Round:  299 User: 16 Train Loss: -1.838
Round:  299 User: 29 Train Loss: -1.849
Round:  299 User: 39 Train Loss: -1.843
count 4
Round:  299 Train Loss: -1.843
centeral clustering:
Global  NMI = 0.4042 ARI = 0.2881 F = 0.3660 ACC = 0.4516
Global  NMI = 0.4048 ARI = 0.2910 F = 0.3703 ACC = 0.4450
Round:  300 User: 6 Train Loss: -1.824
Round:  300 User: 10 Train Loss: -1.831
Round:  300 User: 18 Train Loss: -1.823
Round:  300 User: 31 Train Loss: -1.827
count 4
Round:  300 Train Loss: -1.826
centeral clustering:
Round:  301 User: 16 Train Loss: -1.832
Round:  301 User: 37 Train Loss: -1.832
Round:  301 User: 38 Train Loss: -1.837
Round:  301 User: 39 Train Loss: -1.839
count 4
Round:  301 Train Loss: -1.835
centeral clustering:
Round:  302 User: 12 Train Loss: -1.838
Round:  302 User: 32 Train Loss: -1.836
Round:  302 User: 35 Train Loss: -1.842
Round:  302 User: 39 Train Loss: -1.830
count 4
Round:  302 Train Loss: -1.836
centeral clustering:
Round:  303 User: 0 Train Loss: -1.819
Round:  303 User: 11 Train Loss: -1.829
Round:  303 User: 18 Train Loss: -1.830
Round:  303 User: 19 Train Loss: -1.836
count 4
Round:  303 Train Loss: -1.828
centeral clustering:
Round:  304 User: 6 Train Loss: -1.833
Round:  304 User: 13 Train Loss: -1.834
Round:  304 User: 33 Train Loss: -1.829
Round:  304 User: 36 Train Loss: -1.831
count 4
Round:  304 Train Loss: -1.832
centeral clustering:
Global  NMI = 0.4031 ARI = 0.2868 F = 0.3645 ACC = 0.4502
Round:  305 User: 20 Train Loss: -1.820
Round:  305 User: 21 Train Loss: -1.827
Round:  305 User: 27 Train Loss: -1.839
Round:  305 User: 31 Train Loss: -1.826
count 4
Round:  305 Train Loss: -1.828
centeral clustering:
Round:  306 User: 7 Train Loss: -1.827
Round:  306 User: 12 Train Loss: -1.834
Round:  306 User: 17 Train Loss: -1.841
Round:  306 User: 31 Train Loss: -1.842
count 4
Round:  306 Train Loss: -1.836
centeral clustering:
Round:  307 User: 7 Train Loss: -1.845
Round:  307 User: 11 Train Loss: -1.828
Round:  307 User: 22 Train Loss: -1.834
Round:  307 User: 24 Train Loss: -1.850
count 4
Round:  307 Train Loss: -1.839
centeral clustering:
Round:  308 User: 6 Train Loss: -1.835
Round:  308 User: 33 Train Loss: -1.838
Round:  308 User: 35 Train Loss: -1.836
Round:  308 User: 36 Train Loss: -1.844
count 4
Round:  308 Train Loss: -1.838
centeral clustering:
Round:  309 User: 7 Train Loss: -1.838
Round:  309 User: 20 Train Loss: -1.839
Round:  309 User: 23 Train Loss: -1.831
Round:  309 User: 30 Train Loss: -1.839
count 4
Round:  309 Train Loss: -1.837
centeral clustering:
Global  NMI = 0.4146 ARI = 0.3042 F = 0.3814 ACC = 0.4617
Round:  310 User: 2 Train Loss: -1.836
Round:  310 User: 4 Train Loss: -1.830
Round:  310 User: 8 Train Loss: -1.821
Round:  310 User: 36 Train Loss: -1.832
count 4
Round:  310 Train Loss: -1.830
centeral clustering:
Round:  311 User: 11 Train Loss: -1.836
Round:  311 User: 12 Train Loss: -1.841
Round:  311 User: 13 Train Loss: -1.822
Round:  311 User: 15 Train Loss: -1.825
count 4
Round:  311 Train Loss: -1.831
centeral clustering:
Round:  312 User: 9 Train Loss: -1.827
Round:  312 User: 18 Train Loss: -1.813
Round:  312 User: 22 Train Loss: -1.827
Round:  312 User: 35 Train Loss: -1.833
count 4
Round:  312 Train Loss: -1.825
centeral clustering:
Round:  313 User: 11 Train Loss: -1.831
Round:  313 User: 26 Train Loss: -1.836
Round:  313 User: 33 Train Loss: -1.833
Round:  313 User: 39 Train Loss: -1.833
count 4
Round:  313 Train Loss: -1.833
centeral clustering:
Round:  314 User: 1 Train Loss: -1.828
Round:  314 User: 4 Train Loss: -1.838
Round:  314 User: 14 Train Loss: -1.837
Round:  314 User: 23 Train Loss: -1.836
count 4
Round:  314 Train Loss: -1.835
centeral clustering:
Global  NMI = 0.4243 ARI = 0.3195 F = 0.3887 ACC = 0.5019
Round:  315 User: 0 Train Loss: -1.824
Round:  315 User: 11 Train Loss: -1.837
Round:  315 User: 21 Train Loss: -1.841
Round:  315 User: 35 Train Loss: -1.838
count 4
Round:  315 Train Loss: -1.835
centeral clustering:
Round:  316 User: 2 Train Loss: -1.837
Round:  316 User: 3 Train Loss: -1.838
Round:  316 User: 18 Train Loss: -1.838
Round:  316 User: 22 Train Loss: -1.837
count 4
Round:  316 Train Loss: -1.838
centeral clustering:
Round:  317 User: 2 Train Loss: -1.831
Round:  317 User: 14 Train Loss: -1.842
Round:  317 User: 21 Train Loss: -1.842
Round:  317 User: 31 Train Loss: -1.836
count 4
Round:  317 Train Loss: -1.838
centeral clustering:
Round:  318 User: 0 Train Loss: -1.833
Round:  318 User: 14 Train Loss: -1.848
Round:  318 User: 22 Train Loss: -1.841
Round:  318 User: 24 Train Loss: -1.839
count 4
Round:  318 Train Loss: -1.840
centeral clustering:
Round:  319 User: 3 Train Loss: -1.844
Round:  319 User: 4 Train Loss: -1.842
Round:  319 User: 15 Train Loss: -1.832
Round:  319 User: 32 Train Loss: -1.837
count 4
Round:  319 Train Loss: -1.839
centeral clustering:
Global  NMI = 0.4217 ARI = 0.3004 F = 0.3719 ACC = 0.4776
Global  NMI = 0.4210 ARI = 0.2998 F = 0.3716 ACC = 0.4738
Round:  320 User: 23 Train Loss: -1.837
Round:  320 User: 27 Train Loss: -1.826
Round:  320 User: 33 Train Loss: -1.840
Round:  320 User: 34 Train Loss: -1.837
count 4
Round:  320 Train Loss: -1.835
centeral clustering:
Round:  321 User: 10 Train Loss: -1.840
Round:  321 User: 16 Train Loss: -1.834
Round:  321 User: 26 Train Loss: -1.824
Round:  321 User: 36 Train Loss: -1.829
count 4
Round:  321 Train Loss: -1.832
centeral clustering:
Round:  322 User: 1 Train Loss: -1.821
Round:  322 User: 9 Train Loss: -1.840
Round:  322 User: 33 Train Loss: -1.841
Round:  322 User: 37 Train Loss: -1.842
count 4
Round:  322 Train Loss: -1.836
centeral clustering:
Round:  323 User: 9 Train Loss: -1.836
Round:  323 User: 24 Train Loss: -1.848
Round:  323 User: 27 Train Loss: -1.854
Round:  323 User: 33 Train Loss: -1.850
count 4
Round:  323 Train Loss: -1.847
centeral clustering:
Round:  324 User: 2 Train Loss: -1.848
Round:  324 User: 4 Train Loss: -1.831
Round:  324 User: 11 Train Loss: -1.844
Round:  324 User: 34 Train Loss: -1.833
count 4
Round:  324 Train Loss: -1.839
centeral clustering:
Global  NMI = 0.4115 ARI = 0.2945 F = 0.3682 ACC = 0.4599
Round:  325 User: 2 Train Loss: -1.850
Round:  325 User: 15 Train Loss: -1.841
Round:  325 User: 20 Train Loss: -1.853
Round:  325 User: 33 Train Loss: -1.843
count 4
Round:  325 Train Loss: -1.847
centeral clustering:
Round:  326 User: 3 Train Loss: -1.840
Round:  326 User: 4 Train Loss: -1.836
Round:  326 User: 27 Train Loss: -1.846
Round:  326 User: 28 Train Loss: -1.844
count 4
Round:  326 Train Loss: -1.842
centeral clustering:
Round:  327 User: 1 Train Loss: -1.832
Round:  327 User: 11 Train Loss: -1.847
Round:  327 User: 27 Train Loss: -1.852
Round:  327 User: 33 Train Loss: -1.841
count 4
Round:  327 Train Loss: -1.843
centeral clustering:
Round:  328 User: 3 Train Loss: -1.832
Round:  328 User: 14 Train Loss: -1.841
Round:  328 User: 27 Train Loss: -1.844
Round:  328 User: 33 Train Loss: -1.841
count 4
Round:  328 Train Loss: -1.840
centeral clustering:
Round:  329 User: 0 Train Loss: -1.835
Round:  329 User: 10 Train Loss: -1.845
Round:  329 User: 13 Train Loss: -1.841
Round:  329 User: 22 Train Loss: -1.829
count 4
Round:  329 Train Loss: -1.837
centeral clustering:
Global  NMI = 0.4262 ARI = 0.3153 F = 0.3881 ACC = 0.5003
Round:  330 User: 1 Train Loss: -1.823
Round:  330 User: 7 Train Loss: -1.846
Round:  330 User: 10 Train Loss: -1.848
Round:  330 User: 33 Train Loss: -1.842
count 4
Round:  330 Train Loss: -1.840
centeral clustering:
Round:  331 User: 3 Train Loss: -1.836
Round:  331 User: 31 Train Loss: -1.830
Round:  331 User: 32 Train Loss: -1.848
Round:  331 User: 39 Train Loss: -1.847
count 4
Round:  331 Train Loss: -1.840
centeral clustering:
Round:  332 User: 2 Train Loss: -1.840
Round:  332 User: 31 Train Loss: -1.830
Round:  332 User: 32 Train Loss: -1.853
Round:  332 User: 35 Train Loss: -1.838
count 4
Round:  332 Train Loss: -1.840
centeral clustering:
Round:  333 User: 24 Train Loss: -1.840
Round:  333 User: 27 Train Loss: -1.845
Round:  333 User: 28 Train Loss: -1.848
Round:  333 User: 36 Train Loss: -1.840
count 4
Round:  333 Train Loss: -1.843
centeral clustering:
Round:  334 User: 21 Train Loss: -1.833
Round:  334 User: 25 Train Loss: -1.839
Round:  334 User: 27 Train Loss: -1.833
Round:  334 User: 39 Train Loss: -1.843
count 4
Round:  334 Train Loss: -1.837
centeral clustering:
Global  NMI = 0.4160 ARI = 0.2976 F = 0.3747 ACC = 0.4587
Round:  335 User: 4 Train Loss: -1.825
Round:  335 User: 17 Train Loss: -1.836
Round:  335 User: 18 Train Loss: -1.841
Round:  335 User: 21 Train Loss: -1.831
count 4
Round:  335 Train Loss: -1.833
centeral clustering:
Round:  336 User: 3 Train Loss: -1.854
Round:  336 User: 18 Train Loss: -1.849
Round:  336 User: 20 Train Loss: -1.841
Round:  336 User: 29 Train Loss: -1.849
count 4
Round:  336 Train Loss: -1.848
centeral clustering:
Round:  337 User: 11 Train Loss: -1.859
Round:  337 User: 16 Train Loss: -1.835
Round:  337 User: 19 Train Loss: -1.832
Round:  337 User: 29 Train Loss: -1.851
count 4
Round:  337 Train Loss: -1.844
centeral clustering:
Round:  338 User: 15 Train Loss: -1.847
Round:  338 User: 23 Train Loss: -1.833
Round:  338 User: 25 Train Loss: -1.841
Round:  338 User: 36 Train Loss: -1.849
count 4
Round:  338 Train Loss: -1.843
centeral clustering:
Round:  339 User: 10 Train Loss: -1.840
Round:  339 User: 13 Train Loss: -1.838
Round:  339 User: 19 Train Loss: -1.837
Round:  339 User: 23 Train Loss: -1.847
count 4
Round:  339 Train Loss: -1.840
centeral clustering:
Global  NMI = 0.4099 ARI = 0.2983 F = 0.3742 ACC = 0.4563
Global  NMI = 0.4096 ARI = 0.3017 F = 0.3789 ACC = 0.4487
Round:  340 User: 6 Train Loss: -1.836
Round:  340 User: 14 Train Loss: -1.839
Round:  340 User: 21 Train Loss: -1.844
Round:  340 User: 23 Train Loss: -1.841
count 4
Round:  340 Train Loss: -1.840
centeral clustering:
Round:  341 User: 1 Train Loss: -1.838
Round:  341 User: 5 Train Loss: -1.837
Round:  341 User: 23 Train Loss: -1.854
Round:  341 User: 34 Train Loss: -1.830
count 4
Round:  341 Train Loss: -1.840
centeral clustering:
Round:  342 User: 4 Train Loss: -1.842
Round:  342 User: 21 Train Loss: -1.835
Round:  342 User: 23 Train Loss: -1.841
Round:  342 User: 25 Train Loss: -1.845
count 4
Round:  342 Train Loss: -1.841
centeral clustering:
Round:  343 User: 4 Train Loss: -1.830
Round:  343 User: 7 Train Loss: -1.845
Round:  343 User: 13 Train Loss: -1.840
Round:  343 User: 35 Train Loss: -1.845
count 4
Round:  343 Train Loss: -1.840
centeral clustering:
Round:  344 User: 2 Train Loss: -1.848
Round:  344 User: 12 Train Loss: -1.846
Round:  344 User: 27 Train Loss: -1.847
Round:  344 User: 32 Train Loss: -1.836
count 4
Round:  344 Train Loss: -1.844
centeral clustering:
Global  NMI = 0.4114 ARI = 0.3069 F = 0.3816 ACC = 0.4469
Round:  345 User: 20 Train Loss: -1.842
Round:  345 User: 27 Train Loss: -1.847
Round:  345 User: 28 Train Loss: -1.834
Round:  345 User: 35 Train Loss: -1.836
count 4
Round:  345 Train Loss: -1.840
centeral clustering:
Round:  346 User: 12 Train Loss: -1.846
Round:  346 User: 13 Train Loss: -1.852
Round:  346 User: 29 Train Loss: -1.838
Round:  346 User: 36 Train Loss: -1.839
count 4
Round:  346 Train Loss: -1.844
centeral clustering:
Round:  347 User: 18 Train Loss: -1.833
Round:  347 User: 21 Train Loss: -1.853
Round:  347 User: 29 Train Loss: -1.853
Round:  347 User: 37 Train Loss: -1.842
count 4
Round:  347 Train Loss: -1.845
centeral clustering:
Round:  348 User: 2 Train Loss: -1.856
Round:  348 User: 15 Train Loss: -1.839
Round:  348 User: 23 Train Loss: -1.837
Round:  348 User: 25 Train Loss: -1.835
count 4
Round:  348 Train Loss: -1.841
centeral clustering:
Round:  349 User: 11 Train Loss: -1.844
Round:  349 User: 25 Train Loss: -1.843
Round:  349 User: 31 Train Loss: -1.840
Round:  349 User: 39 Train Loss: -1.851
count 4
Round:  349 Train Loss: -1.845
centeral clustering:
Global  NMI = 0.4224 ARI = 0.3162 F = 0.3867 ACC = 0.5098
Round:  350 User: 7 Train Loss: -1.844
Round:  350 User: 18 Train Loss: -1.842
Round:  350 User: 28 Train Loss: -1.842
Round:  350 User: 33 Train Loss: -1.843
count 4
Round:  350 Train Loss: -1.843
centeral clustering:
Round:  351 User: 0 Train Loss: -1.827
Round:  351 User: 27 Train Loss: -1.849
Round:  351 User: 31 Train Loss: -1.847
Round:  351 User: 38 Train Loss: -1.842
count 4
Round:  351 Train Loss: -1.841
centeral clustering:
Round:  352 User: 12 Train Loss: -1.838
Round:  352 User: 18 Train Loss: -1.838
Round:  352 User: 25 Train Loss: -1.846
Round:  352 User: 31 Train Loss: -1.838
count 4
Round:  352 Train Loss: -1.840
centeral clustering:
Round:  353 User: 6 Train Loss: -1.840
Round:  353 User: 8 Train Loss: -1.843
Round:  353 User: 11 Train Loss: -1.843
Round:  353 User: 29 Train Loss: -1.843
count 4
Round:  353 Train Loss: -1.842
centeral clustering:
Round:  354 User: 3 Train Loss: -1.838
Round:  354 User: 21 Train Loss: -1.838
Round:  354 User: 25 Train Loss: -1.849
Round:  354 User: 34 Train Loss: -1.829
count 4
Round:  354 Train Loss: -1.839
centeral clustering:
Global  NMI = 0.4191 ARI = 0.3153 F = 0.3892 ACC = 0.4425
Round:  355 User: 5 Train Loss: -1.839
Round:  355 User: 19 Train Loss: -1.846
Round:  355 User: 23 Train Loss: -1.839
Round:  355 User: 35 Train Loss: -1.837
count 4
Round:  355 Train Loss: -1.840
centeral clustering:
Round:  356 User: 14 Train Loss: -1.845
Round:  356 User: 19 Train Loss: -1.845
Round:  356 User: 24 Train Loss: -1.842
Round:  356 User: 25 Train Loss: -1.858
count 4
Round:  356 Train Loss: -1.848
centeral clustering:
Round:  357 User: 21 Train Loss: -1.835
Round:  357 User: 25 Train Loss: -1.852
Round:  357 User: 35 Train Loss: -1.856
Round:  357 User: 38 Train Loss: -1.855
count 4
Round:  357 Train Loss: -1.849
centeral clustering:
Round:  358 User: 11 Train Loss: -1.850
Round:  358 User: 27 Train Loss: -1.850
Round:  358 User: 28 Train Loss: -1.838
Round:  358 User: 33 Train Loss: -1.853
count 4
Round:  358 Train Loss: -1.848
centeral clustering:
Round:  359 User: 14 Train Loss: -1.851
Round:  359 User: 24 Train Loss: -1.851
Round:  359 User: 27 Train Loss: -1.855
Round:  359 User: 35 Train Loss: -1.845
count 4
Round:  359 Train Loss: -1.850
centeral clustering:
Global  NMI = 0.4241 ARI = 0.3206 F = 0.3945 ACC = 0.4507
Global  NMI = 0.4252 ARI = 0.3227 F = 0.3970 ACC = 0.4503
Round:  360 User: 1 Train Loss: -1.841
Round:  360 User: 22 Train Loss: -1.838
Round:  360 User: 26 Train Loss: -1.852
Round:  360 User: 38 Train Loss: -1.846
count 4
Round:  360 Train Loss: -1.844
centeral clustering:
Round:  361 User: 5 Train Loss: -1.849
Round:  361 User: 21 Train Loss: -1.846
Round:  361 User: 29 Train Loss: -1.855
Round:  361 User: 31 Train Loss: -1.836
count 4
Round:  361 Train Loss: -1.847
centeral clustering:
Round:  362 User: 8 Train Loss: -1.840
Round:  362 User: 19 Train Loss: -1.849
Round:  362 User: 36 Train Loss: -1.841
Round:  362 User: 39 Train Loss: -1.852
count 4
Round:  362 Train Loss: -1.846
centeral clustering:
Round:  363 User: 3 Train Loss: -1.851
Round:  363 User: 5 Train Loss: -1.838
Round:  363 User: 14 Train Loss: -1.862
Round:  363 User: 21 Train Loss: -1.846
count 4
Round:  363 Train Loss: -1.849
centeral clustering:
Round:  364 User: 5 Train Loss: -1.845
Round:  364 User: 13 Train Loss: -1.836
Round:  364 User: 19 Train Loss: -1.840
Round:  364 User: 33 Train Loss: -1.848
count 4
Round:  364 Train Loss: -1.842
centeral clustering:
Global  NMI = 0.4302 ARI = 0.3283 F = 0.3999 ACC = 0.4736
Round:  365 User: 17 Train Loss: -1.848
Round:  365 User: 28 Train Loss: -1.843
Round:  365 User: 31 Train Loss: -1.843
Round:  365 User: 34 Train Loss: -1.848
count 4
Round:  365 Train Loss: -1.846
centeral clustering:
Round:  366 User: 17 Train Loss: -1.847
Round:  366 User: 19 Train Loss: -1.848
Round:  366 User: 24 Train Loss: -1.842
Round:  366 User: 38 Train Loss: -1.842
count 4
Round:  366 Train Loss: -1.845
centeral clustering:
Round:  367 User: 0 Train Loss: -1.853
Round:  367 User: 22 Train Loss: -1.854
Round:  367 User: 28 Train Loss: -1.847
Round:  367 User: 35 Train Loss: -1.842
count 4
Round:  367 Train Loss: -1.849
centeral clustering:
Round:  368 User: 7 Train Loss: -1.855
Round:  368 User: 14 Train Loss: -1.858
Round:  368 User: 16 Train Loss: -1.849
Round:  368 User: 28 Train Loss: -1.844
count 4
Round:  368 Train Loss: -1.851
centeral clustering:
Round:  369 User: 9 Train Loss: -1.848
Round:  369 User: 15 Train Loss: -1.849
Round:  369 User: 23 Train Loss: -1.850
Round:  369 User: 24 Train Loss: -1.852
count 4
Round:  369 Train Loss: -1.850
centeral clustering:
Global  NMI = 0.4312 ARI = 0.3241 F = 0.3968 ACC = 0.4610
Round:  370 User: 18 Train Loss: -1.852
Round:  370 User: 25 Train Loss: -1.845
Round:  370 User: 32 Train Loss: -1.864
Round:  370 User: 36 Train Loss: -1.849
count 4
Round:  370 Train Loss: -1.853
centeral clustering:
Round:  371 User: 5 Train Loss: -1.852
Round:  371 User: 8 Train Loss: -1.848
Round:  371 User: 12 Train Loss: -1.840
Round:  371 User: 24 Train Loss: -1.854
count 4
Round:  371 Train Loss: -1.848
centeral clustering:
Round:  372 User: 4 Train Loss: -1.846
Round:  372 User: 19 Train Loss: -1.857
Round:  372 User: 22 Train Loss: -1.845
Round:  372 User: 31 Train Loss: -1.840
count 4
Round:  372 Train Loss: -1.847
centeral clustering:
Round:  373 User: 12 Train Loss: -1.835
Round:  373 User: 19 Train Loss: -1.860
Round:  373 User: 29 Train Loss: -1.846
Round:  373 User: 39 Train Loss: -1.860
count 4
Round:  373 Train Loss: -1.850
centeral clustering:
Round:  374 User: 11 Train Loss: -1.853
Round:  374 User: 21 Train Loss: -1.847
Round:  374 User: 26 Train Loss: -1.827
Round:  374 User: 30 Train Loss: -1.848
count 4
Round:  374 Train Loss: -1.844
centeral clustering:
Global  NMI = 0.4299 ARI = 0.3263 F = 0.3996 ACC = 0.4735
Round:  375 User: 1 Train Loss: -1.837
Round:  375 User: 19 Train Loss: -1.841
Round:  375 User: 24 Train Loss: -1.858
Round:  375 User: 29 Train Loss: -1.852
count 4
Round:  375 Train Loss: -1.847
centeral clustering:
Round:  376 User: 0 Train Loss: -1.833
Round:  376 User: 1 Train Loss: -1.847
Round:  376 User: 13 Train Loss: -1.839
Round:  376 User: 17 Train Loss: -1.838
count 4
Round:  376 Train Loss: -1.839
centeral clustering:
Round:  377 User: 8 Train Loss: -1.845
Round:  377 User: 12 Train Loss: -1.849
Round:  377 User: 31 Train Loss: -1.849
Round:  377 User: 38 Train Loss: -1.851
count 4
Round:  377 Train Loss: -1.849
centeral clustering:
Round:  378 User: 2 Train Loss: -1.856
Round:  378 User: 19 Train Loss: -1.854
Round:  378 User: 28 Train Loss: -1.845
Round:  378 User: 38 Train Loss: -1.847
count 4
Round:  378 Train Loss: -1.851
centeral clustering:
Round:  379 User: 19 Train Loss: -1.841
Round:  379 User: 26 Train Loss: -1.848
Round:  379 User: 30 Train Loss: -1.846
Round:  379 User: 37 Train Loss: -1.838
count 4
Round:  379 Train Loss: -1.843
centeral clustering:
Global  NMI = 0.3967 ARI = 0.2912 F = 0.3660 ACC = 0.4412
Global  NMI = 0.4039 ARI = 0.2900 F = 0.3683 ACC = 0.4753
Round:  380 User: 1 Train Loss: -1.844
Round:  380 User: 9 Train Loss: -1.839
Round:  380 User: 13 Train Loss: -1.840
Round:  380 User: 18 Train Loss: -1.851
count 4
Round:  380 Train Loss: -1.843
centeral clustering:
Round:  381 User: 19 Train Loss: -1.856
Round:  381 User: 29 Train Loss: -1.848
Round:  381 User: 33 Train Loss: -1.845
Round:  381 User: 35 Train Loss: -1.848
count 4
Round:  381 Train Loss: -1.849
centeral clustering:
Round:  382 User: 11 Train Loss: -1.852
Round:  382 User: 18 Train Loss: -1.834
Round:  382 User: 22 Train Loss: -1.842
Round:  382 User: 27 Train Loss: -1.856
count 4
Round:  382 Train Loss: -1.846
centeral clustering:
Round:  383 User: 16 Train Loss: -1.836
Round:  383 User: 22 Train Loss: -1.843
Round:  383 User: 24 Train Loss: -1.848
Round:  383 User: 27 Train Loss: -1.839
count 4
Round:  383 Train Loss: -1.842
centeral clustering:
Round:  384 User: 12 Train Loss: -1.847
Round:  384 User: 15 Train Loss: -1.832
Round:  384 User: 22 Train Loss: -1.843
Round:  384 User: 36 Train Loss: -1.837
count 4
Round:  384 Train Loss: -1.840
centeral clustering:
Global  NMI = 0.4027 ARI = 0.2899 F = 0.3627 ACC = 0.4931
Round:  385 User: 15 Train Loss: -1.828
Round:  385 User: 23 Train Loss: -1.831
Round:  385 User: 28 Train Loss: -1.835
Round:  385 User: 29 Train Loss: -1.850
count 4
Round:  385 Train Loss: -1.836
centeral clustering:
Round:  386 User: 5 Train Loss: -1.842
Round:  386 User: 8 Train Loss: -1.831
Round:  386 User: 10 Train Loss: -1.848
Round:  386 User: 20 Train Loss: -1.849
count 4
Round:  386 Train Loss: -1.842
centeral clustering:
Round:  387 User: 2 Train Loss: -1.839
Round:  387 User: 22 Train Loss: -1.837
Round:  387 User: 25 Train Loss: -1.844
Round:  387 User: 39 Train Loss: -1.844
count 4
Round:  387 Train Loss: -1.841
centeral clustering:
Round:  388 User: 1 Train Loss: -1.840
Round:  388 User: 18 Train Loss: -1.845
Round:  388 User: 38 Train Loss: -1.833
Round:  388 User: 39 Train Loss: -1.840
count 4
Round:  388 Train Loss: -1.839
centeral clustering:
Round:  389 User: 3 Train Loss: -1.835
Round:  389 User: 16 Train Loss: -1.838
Round:  389 User: 22 Train Loss: -1.846
Round:  389 User: 27 Train Loss: -1.839
count 4
Round:  389 Train Loss: -1.839
centeral clustering:
Global  NMI = 0.4055 ARI = 0.2990 F = 0.3752 ACC = 0.4429
Round:  390 User: 10 Train Loss: -1.849
Round:  390 User: 15 Train Loss: -1.832
Round:  390 User: 23 Train Loss: -1.839
Round:  390 User: 38 Train Loss: -1.840
count 4
Round:  390 Train Loss: -1.840
centeral clustering:
Round:  391 User: 13 Train Loss: -1.841
Round:  391 User: 15 Train Loss: -1.840
Round:  391 User: 20 Train Loss: -1.837
Round:  391 User: 29 Train Loss: -1.848
count 4
Round:  391 Train Loss: -1.841
centeral clustering:
Round:  392 User: 12 Train Loss: -1.844
Round:  392 User: 13 Train Loss: -1.855
Round:  392 User: 29 Train Loss: -1.856
Round:  392 User: 33 Train Loss: -1.843
count 4
Round:  392 Train Loss: -1.850
centeral clustering:
Round:  393 User: 4 Train Loss: -1.838
Round:  393 User: 8 Train Loss: -1.838
Round:  393 User: 25 Train Loss: -1.854
Round:  393 User: 36 Train Loss: -1.853
count 4
Round:  393 Train Loss: -1.846
centeral clustering:
Round:  394 User: 2 Train Loss: -1.855
Round:  394 User: 8 Train Loss: -1.845
Round:  394 User: 24 Train Loss: -1.859
Round:  394 User: 38 Train Loss: -1.849
count 4
Round:  394 Train Loss: -1.852
centeral clustering:
Global  NMI = 0.4331 ARI = 0.3280 F = 0.3965 ACC = 0.5253
Round:  395 User: 9 Train Loss: -1.837
Round:  395 User: 23 Train Loss: -1.842
Round:  395 User: 24 Train Loss: -1.845
Round:  395 User: 38 Train Loss: -1.848
count 4
Round:  395 Train Loss: -1.843
centeral clustering:
Round:  396 User: 1 Train Loss: -1.834
Round:  396 User: 16 Train Loss: -1.836
Round:  396 User: 22 Train Loss: -1.847
Round:  396 User: 34 Train Loss: -1.848
count 4
Round:  396 Train Loss: -1.841
centeral clustering:
Round:  397 User: 28 Train Loss: -1.838
Round:  397 User: 31 Train Loss: -1.838
Round:  397 User: 36 Train Loss: -1.852
Round:  397 User: 39 Train Loss: -1.851
count 4
Round:  397 Train Loss: -1.845
centeral clustering:
Round:  398 User: 15 Train Loss: -1.837
Round:  398 User: 26 Train Loss: -1.840
Round:  398 User: 35 Train Loss: -1.848
Round:  398 User: 36 Train Loss: -1.840
count 4
Round:  398 Train Loss: -1.841
centeral clustering:
Round:  399 User: 14 Train Loss: -1.839
Round:  399 User: 19 Train Loss: -1.847
Round:  399 User: 35 Train Loss: -1.847
Round:  399 User: 38 Train Loss: -1.847
count 4
Round:  399 Train Loss: -1.845
centeral clustering:
Global  NMI = 0.4352 ARI = 0.3251 F = 0.3945 ACC = 0.5301
Global  NMI = 0.4216 ARI = 0.3146 F = 0.3904 ACC = 0.4676
Round:  400 User: 11 Train Loss: -1.848
Round:  400 User: 24 Train Loss: -1.859
Round:  400 User: 31 Train Loss: -1.839
Round:  400 User: 38 Train Loss: -1.852
count 4
Round:  400 Train Loss: -1.850
centeral clustering:
Round:  401 User: 9 Train Loss: -1.843
Round:  401 User: 21 Train Loss: -1.833
Round:  401 User: 26 Train Loss: -1.843
Round:  401 User: 34 Train Loss: -1.846
count 4
Round:  401 Train Loss: -1.841
centeral clustering:
Round:  402 User: 9 Train Loss: -1.843
Round:  402 User: 13 Train Loss: -1.845
Round:  402 User: 21 Train Loss: -1.853
Round:  402 User: 37 Train Loss: -1.844
count 4
Round:  402 Train Loss: -1.846
centeral clustering:
Round:  403 User: 16 Train Loss: -1.846
Round:  403 User: 18 Train Loss: -1.845
Round:  403 User: 31 Train Loss: -1.849
Round:  403 User: 38 Train Loss: -1.861
count 4
Round:  403 Train Loss: -1.850
centeral clustering:
Round:  404 User: 4 Train Loss: -1.846
Round:  404 User: 8 Train Loss: -1.842
Round:  404 User: 25 Train Loss: -1.847
Round:  404 User: 34 Train Loss: -1.852
count 4
Round:  404 Train Loss: -1.846
centeral clustering:
Global  NMI = 0.4378 ARI = 0.3220 F = 0.3929 ACC = 0.5264
Round:  405 User: 8 Train Loss: -1.847
Round:  405 User: 12 Train Loss: -1.852
Round:  405 User: 31 Train Loss: -1.838
Round:  405 User: 32 Train Loss: -1.852
count 4
Round:  405 Train Loss: -1.847
centeral clustering:
Round:  406 User: 17 Train Loss: -1.861
Round:  406 User: 18 Train Loss: -1.848
Round:  406 User: 24 Train Loss: -1.854
Round:  406 User: 28 Train Loss: -1.845
count 4
Round:  406 Train Loss: -1.852
centeral clustering:
Round:  407 User: 3 Train Loss: -1.861
Round:  407 User: 6 Train Loss: -1.843
Round:  407 User: 13 Train Loss: -1.852
Round:  407 User: 36 Train Loss: -1.850
count 4
Round:  407 Train Loss: -1.851
centeral clustering:
Round:  408 User: 3 Train Loss: -1.848
Round:  408 User: 6 Train Loss: -1.847
Round:  408 User: 29 Train Loss: -1.849
Round:  408 User: 36 Train Loss: -1.848
count 4
Round:  408 Train Loss: -1.848
centeral clustering:
Round:  409 User: 2 Train Loss: -1.855
Round:  409 User: 4 Train Loss: -1.848
Round:  409 User: 12 Train Loss: -1.847
Round:  409 User: 36 Train Loss: -1.846
count 4
Round:  409 Train Loss: -1.849
centeral clustering:
Global  NMI = 0.4216 ARI = 0.3168 F = 0.3885 ACC = 0.4631
Round:  410 User: 10 Train Loss: -1.842
Round:  410 User: 12 Train Loss: -1.856
Round:  410 User: 19 Train Loss: -1.860
Round:  410 User: 28 Train Loss: -1.847
count 4
Round:  410 Train Loss: -1.851
centeral clustering:
Round:  411 User: 0 Train Loss: -1.848
Round:  411 User: 5 Train Loss: -1.843
Round:  411 User: 28 Train Loss: -1.851
Round:  411 User: 31 Train Loss: -1.852
count 4
Round:  411 Train Loss: -1.849
centeral clustering:
Round:  412 User: 3 Train Loss: -1.853
Round:  412 User: 11 Train Loss: -1.852
Round:  412 User: 32 Train Loss: -1.853
Round:  412 User: 37 Train Loss: -1.850
count 4
Round:  412 Train Loss: -1.852
centeral clustering:
Round:  413 User: 9 Train Loss: -1.844
Round:  413 User: 21 Train Loss: -1.853
Round:  413 User: 31 Train Loss: -1.847
Round:  413 User: 32 Train Loss: -1.854
count 4
Round:  413 Train Loss: -1.850
centeral clustering:
Round:  414 User: 0 Train Loss: -1.839
Round:  414 User: 6 Train Loss: -1.851
Round:  414 User: 13 Train Loss: -1.850
Round:  414 User: 29 Train Loss: -1.838
count 4
Round:  414 Train Loss: -1.845
centeral clustering:
Global  NMI = 0.4321 ARI = 0.3114 F = 0.3832 ACC = 0.5191
Round:  415 User: 11 Train Loss: -1.860
Round:  415 User: 18 Train Loss: -1.846
Round:  415 User: 24 Train Loss: -1.856
Round:  415 User: 34 Train Loss: -1.843
count 4
Round:  415 Train Loss: -1.852
centeral clustering:
Round:  416 User: 1 Train Loss: -1.846
Round:  416 User: 18 Train Loss: -1.848
Round:  416 User: 24 Train Loss: -1.856
Round:  416 User: 29 Train Loss: -1.858
count 4
Round:  416 Train Loss: -1.852
centeral clustering:
Round:  417 User: 8 Train Loss: -1.846
Round:  417 User: 11 Train Loss: -1.853
Round:  417 User: 22 Train Loss: -1.853
Round:  417 User: 37 Train Loss: -1.851
count 4
Round:  417 Train Loss: -1.851
centeral clustering:
Round:  418 User: 11 Train Loss: -1.862
Round:  418 User: 19 Train Loss: -1.841
Round:  418 User: 33 Train Loss: -1.847
Round:  418 User: 38 Train Loss: -1.841
count 4
Round:  418 Train Loss: -1.848
centeral clustering:
Round:  419 User: 0 Train Loss: -1.840
Round:  419 User: 16 Train Loss: -1.842
Round:  419 User: 18 Train Loss: -1.841
Round:  419 User: 29 Train Loss: -1.862
count 4
Round:  419 Train Loss: -1.846
centeral clustering:
Global  NMI = 0.4393 ARI = 0.3401 F = 0.4114 ACC = 0.4965
Global  NMI = 0.4413 ARI = 0.3437 F = 0.4163 ACC = 0.4925
Round:  420 User: 13 Train Loss: -1.849
Round:  420 User: 26 Train Loss: -1.844
Round:  420 User: 27 Train Loss: -1.852
Round:  420 User: 31 Train Loss: -1.848
count 4
Round:  420 Train Loss: -1.848
centeral clustering:
Round:  421 User: 11 Train Loss: -1.867
Round:  421 User: 14 Train Loss: -1.860
Round:  421 User: 25 Train Loss: -1.853
Round:  421 User: 33 Train Loss: -1.850
count 4
Round:  421 Train Loss: -1.858
centeral clustering:
Round:  422 User: 24 Train Loss: -1.846
Round:  422 User: 28 Train Loss: -1.840
Round:  422 User: 34 Train Loss: -1.852
Round:  422 User: 35 Train Loss: -1.863
count 4
Round:  422 Train Loss: -1.850
centeral clustering:
Round:  423 User: 13 Train Loss: -1.848
Round:  423 User: 18 Train Loss: -1.841
Round:  423 User: 24 Train Loss: -1.857
Round:  423 User: 34 Train Loss: -1.845
count 4
Round:  423 Train Loss: -1.848
centeral clustering:
Round:  424 User: 2 Train Loss: -1.858
Round:  424 User: 11 Train Loss: -1.853
Round:  424 User: 33 Train Loss: -1.849
Round:  424 User: 39 Train Loss: -1.855
count 4
Round:  424 Train Loss: -1.854
centeral clustering:
Global  NMI = 0.4321 ARI = 0.3167 F = 0.3891 ACC = 0.4834
Round:  425 User: 1 Train Loss: -1.839
Round:  425 User: 20 Train Loss: -1.837
Round:  425 User: 25 Train Loss: -1.848
Round:  425 User: 31 Train Loss: -1.848
count 4
Round:  425 Train Loss: -1.843
centeral clustering:
Round:  426 User: 5 Train Loss: -1.851
Round:  426 User: 8 Train Loss: -1.852
Round:  426 User: 15 Train Loss: -1.839
Round:  426 User: 30 Train Loss: -1.853
count 4
Round:  426 Train Loss: -1.849
centeral clustering:
Round:  427 User: 8 Train Loss: -1.845
Round:  427 User: 17 Train Loss: -1.852
Round:  427 User: 24 Train Loss: -1.858
Round:  427 User: 26 Train Loss: -1.849
count 4
Round:  427 Train Loss: -1.851
centeral clustering:
Round:  428 User: 0 Train Loss: -1.842
Round:  428 User: 5 Train Loss: -1.842
Round:  428 User: 17 Train Loss: -1.849
Round:  428 User: 29 Train Loss: -1.855
count 4
Round:  428 Train Loss: -1.847
centeral clustering:
Round:  429 User: 4 Train Loss: -1.840
Round:  429 User: 7 Train Loss: -1.858
Round:  429 User: 9 Train Loss: -1.846
Round:  429 User: 14 Train Loss: -1.849
count 4
Round:  429 Train Loss: -1.848
centeral clustering:
Global  NMI = 0.4262 ARI = 0.3181 F = 0.3900 ACC = 0.4894
Round:  430 User: 14 Train Loss: -1.854
Round:  430 User: 27 Train Loss: -1.855
Round:  430 User: 30 Train Loss: -1.847
Round:  430 User: 34 Train Loss: -1.849
count 4
Round:  430 Train Loss: -1.851
centeral clustering:
Round:  431 User: 8 Train Loss: -1.858
Round:  431 User: 13 Train Loss: -1.859
Round:  431 User: 33 Train Loss: -1.858
Round:  431 User: 38 Train Loss: -1.861
count 4
Round:  431 Train Loss: -1.859
centeral clustering:
Round:  432 User: 3 Train Loss: -1.847
Round:  432 User: 8 Train Loss: -1.845
Round:  432 User: 10 Train Loss: -1.858
Round:  432 User: 20 Train Loss: -1.851
count 4
Round:  432 Train Loss: -1.850
centeral clustering:
Round:  433 User: 8 Train Loss: -1.840
Round:  433 User: 25 Train Loss: -1.850
Round:  433 User: 27 Train Loss: -1.850
Round:  433 User: 31 Train Loss: -1.846
count 4
Round:  433 Train Loss: -1.846
centeral clustering:
Round:  434 User: 1 Train Loss: -1.847
Round:  434 User: 9 Train Loss: -1.853
Round:  434 User: 27 Train Loss: -1.855
Round:  434 User: 36 Train Loss: -1.861
count 4
Round:  434 Train Loss: -1.854
centeral clustering:
Global  NMI = 0.4291 ARI = 0.3150 F = 0.3875 ACC = 0.4709
Round:  435 User: 14 Train Loss: -1.858
Round:  435 User: 16 Train Loss: -1.849
Round:  435 User: 25 Train Loss: -1.855
Round:  435 User: 35 Train Loss: -1.849
count 4
Round:  435 Train Loss: -1.853
centeral clustering:
Round:  436 User: 9 Train Loss: -1.866
Round:  436 User: 18 Train Loss: -1.849
Round:  436 User: 22 Train Loss: -1.859
Round:  436 User: 26 Train Loss: -1.840
count 4
Round:  436 Train Loss: -1.853
centeral clustering:
Round:  437 User: 11 Train Loss: -1.858
Round:  437 User: 21 Train Loss: -1.838
Round:  437 User: 23 Train Loss: -1.840
Round:  437 User: 28 Train Loss: -1.854
count 4
Round:  437 Train Loss: -1.847
centeral clustering:
Round:  438 User: 6 Train Loss: -1.840
Round:  438 User: 19 Train Loss: -1.850
Round:  438 User: 26 Train Loss: -1.846
Round:  438 User: 33 Train Loss: -1.860
count 4
Round:  438 Train Loss: -1.849
centeral clustering:
Round:  439 User: 1 Train Loss: -1.849
Round:  439 User: 3 Train Loss: -1.855
Round:  439 User: 9 Train Loss: -1.859
Round:  439 User: 25 Train Loss: -1.857
count 4
Round:  439 Train Loss: -1.855
centeral clustering:
Global  NMI = 0.4320 ARI = 0.3226 F = 0.3946 ACC = 0.4825
Global  NMI = 0.4321 ARI = 0.3239 F = 0.3966 ACC = 0.4816
Round:  440 User: 5 Train Loss: -1.842
Round:  440 User: 6 Train Loss: -1.839
Round:  440 User: 27 Train Loss: -1.853
Round:  440 User: 36 Train Loss: -1.858
count 4
Round:  440 Train Loss: -1.848
centeral clustering:
Round:  441 User: 6 Train Loss: -1.848
Round:  441 User: 10 Train Loss: -1.859
Round:  441 User: 25 Train Loss: -1.868
Round:  441 User: 30 Train Loss: -1.858
count 4
Round:  441 Train Loss: -1.858
centeral clustering:
Round:  442 User: 9 Train Loss: -1.848
Round:  442 User: 14 Train Loss: -1.853
Round:  442 User: 29 Train Loss: -1.862
Round:  442 User: 31 Train Loss: -1.851
count 4
Round:  442 Train Loss: -1.853
centeral clustering:
Round:  443 User: 9 Train Loss: -1.856
Round:  443 User: 12 Train Loss: -1.846
Round:  443 User: 17 Train Loss: -1.849
Round:  443 User: 32 Train Loss: -1.852
count 4
Round:  443 Train Loss: -1.851
centeral clustering:
Round:  444 User: 2 Train Loss: -1.854
Round:  444 User: 26 Train Loss: -1.840
Round:  444 User: 33 Train Loss: -1.847
Round:  444 User: 34 Train Loss: -1.851
count 4
Round:  444 Train Loss: -1.848
centeral clustering:
Global  NMI = 0.4304 ARI = 0.3120 F = 0.3836 ACC = 0.4892
Round:  445 User: 2 Train Loss: -1.862
Round:  445 User: 12 Train Loss: -1.851
Round:  445 User: 29 Train Loss: -1.854
Round:  445 User: 34 Train Loss: -1.843
count 4
Round:  445 Train Loss: -1.852
centeral clustering:
Round:  446 User: 4 Train Loss: -1.838
Round:  446 User: 7 Train Loss: -1.849
Round:  446 User: 16 Train Loss: -1.846
Round:  446 User: 18 Train Loss: -1.845
count 4
Round:  446 Train Loss: -1.844
centeral clustering:
Round:  447 User: 6 Train Loss: -1.846
Round:  447 User: 23 Train Loss: -1.848
Round:  447 User: 30 Train Loss: -1.842
Round:  447 User: 36 Train Loss: -1.850
count 4
Round:  447 Train Loss: -1.846
centeral clustering:
Round:  448 User: 6 Train Loss: -1.847
Round:  448 User: 11 Train Loss: -1.837
Round:  448 User: 15 Train Loss: -1.841
Round:  448 User: 18 Train Loss: -1.834
count 4
Round:  448 Train Loss: -1.840
centeral clustering:
Round:  449 User: 7 Train Loss: -1.850
Round:  449 User: 12 Train Loss: -1.839
Round:  449 User: 13 Train Loss: -1.849
Round:  449 User: 21 Train Loss: -1.840
count 4
Round:  449 Train Loss: -1.845
centeral clustering:
Global  NMI = 0.4540 ARI = 0.3453 F = 0.4128 ACC = 0.5345
Round:  450 User: 6 Train Loss: -1.847
Round:  450 User: 10 Train Loss: -1.855
Round:  450 User: 17 Train Loss: -1.842
Round:  450 User: 26 Train Loss: -1.838
count 4
Round:  450 Train Loss: -1.845
centeral clustering:
Round:  451 User: 9 Train Loss: -1.851
Round:  451 User: 18 Train Loss: -1.851
Round:  451 User: 37 Train Loss: -1.846
Round:  451 User: 39 Train Loss: -1.849
count 4
Round:  451 Train Loss: -1.849
centeral clustering:
Round:  452 User: 7 Train Loss: -1.861
Round:  452 User: 11 Train Loss: -1.858
Round:  452 User: 18 Train Loss: -1.852
Round:  452 User: 31 Train Loss: -1.847
count 4
Round:  452 Train Loss: -1.854
centeral clustering:
Round:  453 User: 8 Train Loss: -1.846
Round:  453 User: 25 Train Loss: -1.853
Round:  453 User: 28 Train Loss: -1.854
Round:  453 User: 35 Train Loss: -1.855
count 4
Round:  453 Train Loss: -1.852
centeral clustering:
Round:  454 User: 15 Train Loss: -1.841
Round:  454 User: 25 Train Loss: -1.849
Round:  454 User: 27 Train Loss: -1.856
Round:  454 User: 31 Train Loss: -1.849
count 4
Round:  454 Train Loss: -1.849
centeral clustering:
Global  NMI = 0.4609 ARI = 0.3593 F = 0.4248 ACC = 0.5563
Round:  455 User: 2 Train Loss: -1.851
Round:  455 User: 31 Train Loss: -1.850
Round:  455 User: 34 Train Loss: -1.845
Round:  455 User: 35 Train Loss: -1.852
count 4
Round:  455 Train Loss: -1.849
centeral clustering:
Round:  456 User: 3 Train Loss: -1.860
Round:  456 User: 17 Train Loss: -1.859
Round:  456 User: 21 Train Loss: -1.840
Round:  456 User: 35 Train Loss: -1.854
count 4
Round:  456 Train Loss: -1.853
centeral clustering:
Round:  457 User: 0 Train Loss: -1.846
Round:  457 User: 11 Train Loss: -1.847
Round:  457 User: 18 Train Loss: -1.860
Round:  457 User: 32 Train Loss: -1.853
count 4
Round:  457 Train Loss: -1.852
centeral clustering:
Round:  458 User: 0 Train Loss: -1.846
Round:  458 User: 1 Train Loss: -1.848
Round:  458 User: 13 Train Loss: -1.852
Round:  458 User: 37 Train Loss: -1.852
count 4
Round:  458 Train Loss: -1.850
centeral clustering:
Round:  459 User: 3 Train Loss: -1.854
Round:  459 User: 8 Train Loss: -1.852
Round:  459 User: 9 Train Loss: -1.848
Round:  459 User: 33 Train Loss: -1.848
count 4
Round:  459 Train Loss: -1.850
centeral clustering:
Global  NMI = 0.4472 ARI = 0.3348 F = 0.4026 ACC = 0.5314
Global  NMI = 0.4276 ARI = 0.3175 F = 0.3893 ACC = 0.4855
Round:  460 User: 5 Train Loss: -1.848
Round:  460 User: 9 Train Loss: -1.857
Round:  460 User: 10 Train Loss: -1.847
Round:  460 User: 24 Train Loss: -1.855
count 4
Round:  460 Train Loss: -1.852
centeral clustering:
Round:  461 User: 3 Train Loss: -1.854
Round:  461 User: 5 Train Loss: -1.838
Round:  461 User: 31 Train Loss: -1.855
Round:  461 User: 36 Train Loss: -1.846
count 4
Round:  461 Train Loss: -1.848
centeral clustering:
Round:  462 User: 12 Train Loss: -1.852
Round:  462 User: 28 Train Loss: -1.844
Round:  462 User: 34 Train Loss: -1.838
Round:  462 User: 38 Train Loss: -1.841
count 4
Round:  462 Train Loss: -1.844
centeral clustering:
Round:  463 User: 6 Train Loss: -1.843
Round:  463 User: 31 Train Loss: -1.846
Round:  463 User: 33 Train Loss: -1.841
Round:  463 User: 38 Train Loss: -1.851
count 4
Round:  463 Train Loss: -1.845
centeral clustering:
Round:  464 User: 4 Train Loss: -1.842
Round:  464 User: 17 Train Loss: -1.842
Round:  464 User: 20 Train Loss: -1.844
Round:  464 User: 39 Train Loss: -1.862
count 4
Round:  464 Train Loss: -1.848
centeral clustering:
Global  NMI = 0.4419 ARI = 0.3288 F = 0.3982 ACC = 0.5205
Round:  465 User: 2 Train Loss: -1.863
Round:  465 User: 16 Train Loss: -1.842
Round:  465 User: 27 Train Loss: -1.858
Round:  465 User: 39 Train Loss: -1.865
count 4
Round:  465 Train Loss: -1.857
centeral clustering:
Round:  466 User: 7 Train Loss: -1.847
Round:  466 User: 15 Train Loss: -1.840
Round:  466 User: 27 Train Loss: -1.859
Round:  466 User: 36 Train Loss: -1.855
count 4
Round:  466 Train Loss: -1.850
centeral clustering:
Round:  467 User: 0 Train Loss: -1.837
Round:  467 User: 9 Train Loss: -1.859
Round:  467 User: 17 Train Loss: -1.856
Round:  467 User: 33 Train Loss: -1.849
count 4
Round:  467 Train Loss: -1.850
centeral clustering:
Round:  468 User: 3 Train Loss: -1.854
Round:  468 User: 13 Train Loss: -1.848
Round:  468 User: 25 Train Loss: -1.848
Round:  468 User: 29 Train Loss: -1.849
count 4
Round:  468 Train Loss: -1.850
centeral clustering:
Round:  469 User: 14 Train Loss: -1.856
Round:  469 User: 16 Train Loss: -1.839
Round:  469 User: 24 Train Loss: -1.854
Round:  469 User: 37 Train Loss: -1.845
count 4
Round:  469 Train Loss: -1.848
centeral clustering:
Global  NMI = 0.4426 ARI = 0.3253 F = 0.3951 ACC = 0.5194
Round:  470 User: 6 Train Loss: -1.847
Round:  470 User: 12 Train Loss: -1.849
Round:  470 User: 13 Train Loss: -1.840
Round:  470 User: 28 Train Loss: -1.848
count 4
Round:  470 Train Loss: -1.846
centeral clustering:
Round:  471 User: 3 Train Loss: -1.845
Round:  471 User: 9 Train Loss: -1.861
Round:  471 User: 32 Train Loss: -1.865
Round:  471 User: 33 Train Loss: -1.853
count 4
Round:  471 Train Loss: -1.856
centeral clustering:
Round:  472 User: 8 Train Loss: -1.852
Round:  472 User: 11 Train Loss: -1.856
Round:  472 User: 23 Train Loss: -1.846
Round:  472 User: 28 Train Loss: -1.852
count 4
Round:  472 Train Loss: -1.852
centeral clustering:
Round:  473 User: 3 Train Loss: -1.868
Round:  473 User: 15 Train Loss: -1.839
Round:  473 User: 21 Train Loss: -1.845
Round:  473 User: 32 Train Loss: -1.858
count 4
Round:  473 Train Loss: -1.853
centeral clustering:
Round:  474 User: 5 Train Loss: -1.852
Round:  474 User: 12 Train Loss: -1.864
Round:  474 User: 23 Train Loss: -1.857
Round:  474 User: 26 Train Loss: -1.840
count 4
Round:  474 Train Loss: -1.853
centeral clustering:
Global  NMI = 0.4630 ARI = 0.3505 F = 0.4174 ACC = 0.5482
Round:  475 User: 6 Train Loss: -1.857
Round:  475 User: 10 Train Loss: -1.848
Round:  475 User: 12 Train Loss: -1.857
Round:  475 User: 26 Train Loss: -1.852
count 4
Round:  475 Train Loss: -1.854
centeral clustering:
Round:  476 User: 18 Train Loss: -1.859
Round:  476 User: 24 Train Loss: -1.860
Round:  476 User: 29 Train Loss: -1.852
Round:  476 User: 30 Train Loss: -1.848
count 4
Round:  476 Train Loss: -1.855
centeral clustering:
Round:  477 User: 15 Train Loss: -1.853
Round:  477 User: 24 Train Loss: -1.855
Round:  477 User: 25 Train Loss: -1.861
Round:  477 User: 39 Train Loss: -1.849
count 4
Round:  477 Train Loss: -1.855
centeral clustering:
Round:  478 User: 1 Train Loss: -1.850
Round:  478 User: 7 Train Loss: -1.853
Round:  478 User: 12 Train Loss: -1.851
Round:  478 User: 19 Train Loss: -1.854
count 4
Round:  478 Train Loss: -1.852
centeral clustering:
Round:  479 User: 4 Train Loss: -1.861
Round:  479 User: 18 Train Loss: -1.863
Round:  479 User: 20 Train Loss: -1.853
Round:  479 User: 27 Train Loss: -1.853
count 4
Round:  479 Train Loss: -1.857
centeral clustering:
Global  NMI = 0.4667 ARI = 0.3573 F = 0.4231 ACC = 0.5557
Global  NMI = 0.4652 ARI = 0.3560 F = 0.4222 ACC = 0.5560
Round:  480 User: 4 Train Loss: -1.850
Round:  480 User: 20 Train Loss: -1.858
Round:  480 User: 22 Train Loss: -1.855
Round:  480 User: 24 Train Loss: -1.859
count 4
Round:  480 Train Loss: -1.855
centeral clustering:
Round:  481 User: 2 Train Loss: -1.860
Round:  481 User: 12 Train Loss: -1.862
Round:  481 User: 29 Train Loss: -1.863
Round:  481 User: 39 Train Loss: -1.857
count 4
Round:  481 Train Loss: -1.861
centeral clustering:
Round:  482 User: 9 Train Loss: -1.855
Round:  482 User: 10 Train Loss: -1.850
Round:  482 User: 11 Train Loss: -1.862
Round:  482 User: 20 Train Loss: -1.849
count 4
Round:  482 Train Loss: -1.854
centeral clustering:
Round:  483 User: 14 Train Loss: -1.855
Round:  483 User: 26 Train Loss: -1.851
Round:  483 User: 27 Train Loss: -1.861
Round:  483 User: 38 Train Loss: -1.857
count 4
Round:  483 Train Loss: -1.856
centeral clustering:
Round:  484 User: 6 Train Loss: -1.852
Round:  484 User: 12 Train Loss: -1.857
Round:  484 User: 13 Train Loss: -1.857
Round:  484 User: 22 Train Loss: -1.851
count 4
Round:  484 Train Loss: -1.854
centeral clustering:
Global  NMI = 0.4683 ARI = 0.3577 F = 0.4229 ACC = 0.5570
Round:  485 User: 12 Train Loss: -1.844
Round:  485 User: 15 Train Loss: -1.838
Round:  485 User: 25 Train Loss: -1.853
Round:  485 User: 26 Train Loss: -1.859
count 4
Round:  485 Train Loss: -1.849
centeral clustering:
Round:  486 User: 12 Train Loss: -1.854
Round:  486 User: 13 Train Loss: -1.854
Round:  486 User: 14 Train Loss: -1.860
Round:  486 User: 15 Train Loss: -1.843
count 4
Round:  486 Train Loss: -1.853
centeral clustering:
Round:  487 User: 6 Train Loss: -1.844
Round:  487 User: 10 Train Loss: -1.859
Round:  487 User: 16 Train Loss: -1.859
Round:  487 User: 28 Train Loss: -1.852
count 4
Round:  487 Train Loss: -1.854
centeral clustering:
Round:  488 User: 1 Train Loss: -1.853
Round:  488 User: 8 Train Loss: -1.857
Round:  488 User: 14 Train Loss: -1.863
Round:  488 User: 39 Train Loss: -1.875
count 4
Round:  488 Train Loss: -1.862
centeral clustering:
Round:  489 User: 4 Train Loss: -1.850
Round:  489 User: 7 Train Loss: -1.852
Round:  489 User: 31 Train Loss: -1.849
Round:  489 User: 32 Train Loss: -1.860
count 4
Round:  489 Train Loss: -1.853
centeral clustering:
Global  NMI = 0.4609 ARI = 0.3498 F = 0.4166 ACC = 0.5426
Round:  490 User: 13 Train Loss: -1.846
Round:  490 User: 17 Train Loss: -1.858
Round:  490 User: 23 Train Loss: -1.848
Round:  490 User: 35 Train Loss: -1.845
count 4
Round:  490 Train Loss: -1.849
centeral clustering:
Round:  491 User: 2 Train Loss: -1.865
Round:  491 User: 8 Train Loss: -1.859
Round:  491 User: 9 Train Loss: -1.860
Round:  491 User: 13 Train Loss: -1.857
count 4
Round:  491 Train Loss: -1.860
centeral clustering:
Round:  492 User: 0 Train Loss: -1.850
Round:  492 User: 19 Train Loss: -1.854
Round:  492 User: 25 Train Loss: -1.864
Round:  492 User: 32 Train Loss: -1.860
count 4
Round:  492 Train Loss: -1.857
centeral clustering:
Round:  493 User: 28 Train Loss: -1.856
Round:  493 User: 31 Train Loss: -1.864
Round:  493 User: 33 Train Loss: -1.852
Round:  493 User: 34 Train Loss: -1.858
count 4
Round:  493 Train Loss: -1.858
centeral clustering:
Round:  494 User: 7 Train Loss: -1.860
Round:  494 User: 16 Train Loss: -1.861
Round:  494 User: 17 Train Loss: -1.860
Round:  494 User: 28 Train Loss: -1.852
count 4
Round:  494 Train Loss: -1.858
centeral clustering:
Global  NMI = 0.4647 ARI = 0.3513 F = 0.4184 ACC = 0.5443
Round:  495 User: 9 Train Loss: -1.851
Round:  495 User: 11 Train Loss: -1.855
Round:  495 User: 21 Train Loss: -1.854
Round:  495 User: 35 Train Loss: -1.852
count 4
Round:  495 Train Loss: -1.853
centeral clustering:
Round:  496 User: 7 Train Loss: -1.856
Round:  496 User: 10 Train Loss: -1.864
Round:  496 User: 33 Train Loss: -1.868
Round:  496 User: 36 Train Loss: -1.866
count 4
Round:  496 Train Loss: -1.864
centeral clustering:
Round:  497 User: 14 Train Loss: -1.871
Round:  497 User: 15 Train Loss: -1.856
Round:  497 User: 17 Train Loss: -1.860
Round:  497 User: 34 Train Loss: -1.856
count 4
Round:  497 Train Loss: -1.861
centeral clustering:
Round:  498 User: 14 Train Loss: -1.864
Round:  498 User: 17 Train Loss: -1.871
Round:  498 User: 26 Train Loss: -1.856
Round:  498 User: 39 Train Loss: -1.857
count 4
Round:  498 Train Loss: -1.862
centeral clustering:
Round:  499 User: 4 Train Loss: -1.865
Round:  499 User: 12 Train Loss: -1.860
Round:  499 User: 18 Train Loss: -1.860
Round:  499 User: 36 Train Loss: -1.853
count 4
Round:  499 Train Loss: -1.859
centeral clustering:
Global  NMI = 0.4617 ARI = 0.3565 F = 0.4231 ACC = 0.5527
Global  NMI = 0.4644 ARI = 0.3727 F = 0.4376 ACC = 0.5782
Round:  500 User: 7 Train Loss: -1.860
Round:  500 User: 16 Train Loss: -1.860
Round:  500 User: 24 Train Loss: -1.863
Round:  500 User: 30 Train Loss: -1.857
count 4
Round:  500 Train Loss: -1.860
centeral clustering:
Round:  501 User: 6 Train Loss: -1.844
Round:  501 User: 16 Train Loss: -1.862
Round:  501 User: 31 Train Loss: -1.855
Round:  501 User: 36 Train Loss: -1.849
count 4
Round:  501 Train Loss: -1.852
centeral clustering:
Round:  502 User: 8 Train Loss: -1.853
Round:  502 User: 9 Train Loss: -1.862
Round:  502 User: 16 Train Loss: -1.856
Round:  502 User: 25 Train Loss: -1.865
count 4
Round:  502 Train Loss: -1.859
centeral clustering:
Round:  503 User: 6 Train Loss: -1.862
Round:  503 User: 12 Train Loss: -1.860
Round:  503 User: 18 Train Loss: -1.863
Round:  503 User: 39 Train Loss: -1.868
count 4
Round:  503 Train Loss: -1.863
centeral clustering:
Round:  504 User: 3 Train Loss: -1.857
Round:  504 User: 12 Train Loss: -1.860
Round:  504 User: 31 Train Loss: -1.862
Round:  504 User: 36 Train Loss: -1.854
count 4
Round:  504 Train Loss: -1.858
centeral clustering:
Global  NMI = 0.4659 ARI = 0.3618 F = 0.4268 ACC = 0.5533
Round:  505 User: 22 Train Loss: -1.840
Round:  505 User: 28 Train Loss: -1.845
Round:  505 User: 33 Train Loss: -1.860
Round:  505 User: 39 Train Loss: -1.867
count 4
Round:  505 Train Loss: -1.853
centeral clustering:
Round:  506 User: 16 Train Loss: -1.867
Round:  506 User: 17 Train Loss: -1.855
Round:  506 User: 23 Train Loss: -1.863
Round:  506 User: 28 Train Loss: -1.848
count 4
Round:  506 Train Loss: -1.858
centeral clustering:
Round:  507 User: 7 Train Loss: -1.857
Round:  507 User: 19 Train Loss: -1.857
Round:  507 User: 25 Train Loss: -1.859
Round:  507 User: 38 Train Loss: -1.855
count 4
Round:  507 Train Loss: -1.857
centeral clustering:
Round:  508 User: 0 Train Loss: -1.844
Round:  508 User: 21 Train Loss: -1.848
Round:  508 User: 24 Train Loss: -1.867
Round:  508 User: 28 Train Loss: -1.865
count 4
Round:  508 Train Loss: -1.856
centeral clustering:
Round:  509 User: 1 Train Loss: -1.859
Round:  509 User: 5 Train Loss: -1.859
Round:  509 User: 21 Train Loss: -1.857
Round:  509 User: 25 Train Loss: -1.850
count 4
Round:  509 Train Loss: -1.856
centeral clustering:
Global  NMI = 0.4452 ARI = 0.3398 F = 0.4089 ACC = 0.5193
Round:  510 User: 11 Train Loss: -1.862
Round:  510 User: 26 Train Loss: -1.865
Round:  510 User: 27 Train Loss: -1.860
Round:  510 User: 33 Train Loss: -1.852
count 4
Round:  510 Train Loss: -1.860
centeral clustering:
Round:  511 User: 9 Train Loss: -1.854
Round:  511 User: 28 Train Loss: -1.868
Round:  511 User: 36 Train Loss: -1.859
Round:  511 User: 39 Train Loss: -1.870
count 4
Round:  511 Train Loss: -1.863
centeral clustering:
Round:  512 User: 0 Train Loss: -1.854
Round:  512 User: 2 Train Loss: -1.858
Round:  512 User: 23 Train Loss: -1.862
Round:  512 User: 39 Train Loss: -1.869
count 4
Round:  512 Train Loss: -1.861
centeral clustering:
Round:  513 User: 2 Train Loss: -1.870
Round:  513 User: 4 Train Loss: -1.859
Round:  513 User: 20 Train Loss: -1.858
Round:  513 User: 35 Train Loss: -1.860
count 4
Round:  513 Train Loss: -1.862
centeral clustering:
Round:  514 User: 8 Train Loss: -1.861
Round:  514 User: 24 Train Loss: -1.860
Round:  514 User: 33 Train Loss: -1.853
Round:  514 User: 36 Train Loss: -1.862
count 4
Round:  514 Train Loss: -1.859
centeral clustering:
Global  NMI = 0.4541 ARI = 0.3482 F = 0.4168 ACC = 0.5201
Round:  515 User: 2 Train Loss: -1.864
Round:  515 User: 11 Train Loss: -1.866
Round:  515 User: 37 Train Loss: -1.871
Round:  515 User: 38 Train Loss: -1.861
count 4
Round:  515 Train Loss: -1.866
centeral clustering:
Round:  516 User: 3 Train Loss: -1.868
Round:  516 User: 4 Train Loss: -1.854
Round:  516 User: 23 Train Loss: -1.861
Round:  516 User: 36 Train Loss: -1.868
count 4
Round:  516 Train Loss: -1.863
centeral clustering:
Round:  517 User: 2 Train Loss: -1.869
Round:  517 User: 9 Train Loss: -1.866
Round:  517 User: 16 Train Loss: -1.855
Round:  517 User: 30 Train Loss: -1.865
count 4
Round:  517 Train Loss: -1.864
centeral clustering:
Round:  518 User: 21 Train Loss: -1.864
Round:  518 User: 22 Train Loss: -1.852
Round:  518 User: 38 Train Loss: -1.861
Round:  518 User: 39 Train Loss: -1.869
count 4
Round:  518 Train Loss: -1.862
centeral clustering:
Round:  519 User: 7 Train Loss: -1.862
Round:  519 User: 20 Train Loss: -1.859
Round:  519 User: 32 Train Loss: -1.873
Round:  519 User: 37 Train Loss: -1.871
count 4
Round:  519 Train Loss: -1.866
centeral clustering:
Global  NMI = 0.4427 ARI = 0.3155 F = 0.3851 ACC = 0.5092
Global  NMI = 0.4411 ARI = 0.3122 F = 0.3824 ACC = 0.4988
Round:  520 User: 17 Train Loss: -1.865
Round:  520 User: 23 Train Loss: -1.851
Round:  520 User: 27 Train Loss: -1.867
Round:  520 User: 30 Train Loss: -1.862
count 4
Round:  520 Train Loss: -1.861
centeral clustering:
Round:  521 User: 0 Train Loss: -1.853
Round:  521 User: 20 Train Loss: -1.867
Round:  521 User: 27 Train Loss: -1.862
Round:  521 User: 30 Train Loss: -1.859
count 4
Round:  521 Train Loss: -1.860
centeral clustering:
Round:  522 User: 1 Train Loss: -1.855
Round:  522 User: 6 Train Loss: -1.855
Round:  522 User: 18 Train Loss: -1.861
Round:  522 User: 34 Train Loss: -1.858
count 4
Round:  522 Train Loss: -1.857
centeral clustering:
Round:  523 User: 9 Train Loss: -1.864
Round:  523 User: 11 Train Loss: -1.851
Round:  523 User: 12 Train Loss: -1.867
Round:  523 User: 33 Train Loss: -1.861
count 4
Round:  523 Train Loss: -1.861
centeral clustering:
Round:  524 User: 17 Train Loss: -1.859
Round:  524 User: 18 Train Loss: -1.856
Round:  524 User: 22 Train Loss: -1.863
Round:  524 User: 31 Train Loss: -1.850
count 4
Round:  524 Train Loss: -1.857
centeral clustering:
Global  NMI = 0.4502 ARI = 0.3396 F = 0.4083 ACC = 0.5241
Round:  525 User: 19 Train Loss: -1.859
Round:  525 User: 21 Train Loss: -1.858
Round:  525 User: 29 Train Loss: -1.865
Round:  525 User: 32 Train Loss: -1.873
count 4
Round:  525 Train Loss: -1.864
centeral clustering:
Round:  526 User: 14 Train Loss: -1.867
Round:  526 User: 20 Train Loss: -1.855
Round:  526 User: 31 Train Loss: -1.856
Round:  526 User: 36 Train Loss: -1.867
count 4
Round:  526 Train Loss: -1.861
centeral clustering:
Round:  527 User: 2 Train Loss: -1.860
Round:  527 User: 7 Train Loss: -1.855
Round:  527 User: 12 Train Loss: -1.865
Round:  527 User: 34 Train Loss: -1.853
count 4
Round:  527 Train Loss: -1.858
centeral clustering:
Round:  528 User: 3 Train Loss: -1.859
Round:  528 User: 13 Train Loss: -1.860
Round:  528 User: 27 Train Loss: -1.854
Round:  528 User: 29 Train Loss: -1.872
count 4
Round:  528 Train Loss: -1.861
centeral clustering:
Round:  529 User: 5 Train Loss: -1.868
Round:  529 User: 13 Train Loss: -1.851
Round:  529 User: 20 Train Loss: -1.867
Round:  529 User: 29 Train Loss: -1.868
count 4
Round:  529 Train Loss: -1.864
centeral clustering:
Global  NMI = 0.4529 ARI = 0.3419 F = 0.4107 ACC = 0.5114
Round:  530 User: 12 Train Loss: -1.859
Round:  530 User: 17 Train Loss: -1.864
Round:  530 User: 29 Train Loss: -1.868
Round:  530 User: 37 Train Loss: -1.862
count 4
Round:  530 Train Loss: -1.863
centeral clustering:
Round:  531 User: 3 Train Loss: -1.860
Round:  531 User: 13 Train Loss: -1.857
Round:  531 User: 18 Train Loss: -1.861
Round:  531 User: 33 Train Loss: -1.859
count 4
Round:  531 Train Loss: -1.859
centeral clustering:
Round:  532 User: 24 Train Loss: -1.867
Round:  532 User: 27 Train Loss: -1.865
Round:  532 User: 35 Train Loss: -1.865
Round:  532 User: 36 Train Loss: -1.865
count 4
Round:  532 Train Loss: -1.865
centeral clustering:
Round:  533 User: 4 Train Loss: -1.864
Round:  533 User: 16 Train Loss: -1.855
Round:  533 User: 37 Train Loss: -1.858
Round:  533 User: 38 Train Loss: -1.855
count 4
Round:  533 Train Loss: -1.858
centeral clustering:
Round:  534 User: 11 Train Loss: -1.858
Round:  534 User: 20 Train Loss: -1.856
Round:  534 User: 25 Train Loss: -1.858
Round:  534 User: 34 Train Loss: -1.858
count 4
Round:  534 Train Loss: -1.857
centeral clustering:
Global  NMI = 0.4568 ARI = 0.3302 F = 0.3983 ACC = 0.5273
Round:  535 User: 11 Train Loss: -1.859
Round:  535 User: 12 Train Loss: -1.850
Round:  535 User: 18 Train Loss: -1.853
Round:  535 User: 30 Train Loss: -1.854
count 4
Round:  535 Train Loss: -1.854
centeral clustering:
Round:  536 User: 15 Train Loss: -1.853
Round:  536 User: 17 Train Loss: -1.861
Round:  536 User: 28 Train Loss: -1.861
Round:  536 User: 35 Train Loss: -1.854
count 4
Round:  536 Train Loss: -1.857
centeral clustering:
Round:  537 User: 6 Train Loss: -1.856
Round:  537 User: 23 Train Loss: -1.848
Round:  537 User: 25 Train Loss: -1.858
Round:  537 User: 32 Train Loss: -1.863
count 4
Round:  537 Train Loss: -1.856
centeral clustering:
Round:  538 User: 2 Train Loss: -1.868
Round:  538 User: 18 Train Loss: -1.867
Round:  538 User: 24 Train Loss: -1.853
Round:  538 User: 25 Train Loss: -1.863
count 4
Round:  538 Train Loss: -1.863
centeral clustering:
Round:  539 User: 0 Train Loss: -1.848
Round:  539 User: 20 Train Loss: -1.862
Round:  539 User: 23 Train Loss: -1.860
Round:  539 User: 32 Train Loss: -1.867
count 4
Round:  539 Train Loss: -1.859
centeral clustering:
Global  NMI = 0.4605 ARI = 0.3333 F = 0.4015 ACC = 0.5351
Global  NMI = 0.4607 ARI = 0.3301 F = 0.3988 ACC = 0.5325
Round:  540 User: 11 Train Loss: -1.858
Round:  540 User: 20 Train Loss: -1.865
Round:  540 User: 21 Train Loss: -1.864
Round:  540 User: 25 Train Loss: -1.860
count 4
Round:  540 Train Loss: -1.862
centeral clustering:
Round:  541 User: 7 Train Loss: -1.864
Round:  541 User: 30 Train Loss: -1.856
Round:  541 User: 34 Train Loss: -1.858
Round:  541 User: 37 Train Loss: -1.862
count 4
Round:  541 Train Loss: -1.860
centeral clustering:
Round:  542 User: 18 Train Loss: -1.859
Round:  542 User: 22 Train Loss: -1.854
Round:  542 User: 31 Train Loss: -1.850
Round:  542 User: 34 Train Loss: -1.852
count 4
Round:  542 Train Loss: -1.854
centeral clustering:
Round:  543 User: 17 Train Loss: -1.865
Round:  543 User: 19 Train Loss: -1.860
Round:  543 User: 22 Train Loss: -1.854
Round:  543 User: 27 Train Loss: -1.864
count 4
Round:  543 Train Loss: -1.861
centeral clustering:
Round:  544 User: 0 Train Loss: -1.842
Round:  544 User: 2 Train Loss: -1.868
Round:  544 User: 12 Train Loss: -1.859
Round:  544 User: 29 Train Loss: -1.858
count 4
Round:  544 Train Loss: -1.857
centeral clustering:
Global  NMI = 0.4652 ARI = 0.3430 F = 0.4111 ACC = 0.5454
Round:  545 User: 1 Train Loss: -1.850
Round:  545 User: 24 Train Loss: -1.864
Round:  545 User: 27 Train Loss: -1.859
Round:  545 User: 32 Train Loss: -1.863
count 4
Round:  545 Train Loss: -1.859
centeral clustering:
Round:  546 User: 3 Train Loss: -1.859
Round:  546 User: 28 Train Loss: -1.857
Round:  546 User: 29 Train Loss: -1.868
Round:  546 User: 33 Train Loss: -1.860
count 4
Round:  546 Train Loss: -1.861
centeral clustering:
Round:  547 User: 0 Train Loss: -1.859
Round:  547 User: 1 Train Loss: -1.864
Round:  547 User: 20 Train Loss: -1.870
Round:  547 User: 26 Train Loss: -1.856
count 4
Round:  547 Train Loss: -1.862
centeral clustering:
Round:  548 User: 2 Train Loss: -1.864
Round:  548 User: 11 Train Loss: -1.865
Round:  548 User: 22 Train Loss: -1.860
Round:  548 User: 35 Train Loss: -1.858
count 4
Round:  548 Train Loss: -1.862
centeral clustering:
Round:  549 User: 15 Train Loss: -1.861
Round:  549 User: 27 Train Loss: -1.867
Round:  549 User: 30 Train Loss: -1.859
Round:  549 User: 31 Train Loss: -1.863
count 4
Round:  549 Train Loss: -1.863
centeral clustering:
Global  NMI = 0.4693 ARI = 0.3482 F = 0.4153 ACC = 0.5515
Round:  550 User: 17 Train Loss: -1.864
Round:  550 User: 19 Train Loss: -1.865
Round:  550 User: 25 Train Loss: -1.868
Round:  550 User: 28 Train Loss: -1.859
count 4
Round:  550 Train Loss: -1.864
centeral clustering:
Round:  551 User: 5 Train Loss: -1.859
Round:  551 User: 15 Train Loss: -1.853
Round:  551 User: 19 Train Loss: -1.867
Round:  551 User: 30 Train Loss: -1.853
count 4
Round:  551 Train Loss: -1.858
centeral clustering:
Round:  552 User: 8 Train Loss: -1.857
Round:  552 User: 23 Train Loss: -1.850
Round:  552 User: 38 Train Loss: -1.867
Round:  552 User: 39 Train Loss: -1.869
count 4
Round:  552 Train Loss: -1.861
centeral clustering:
Round:  553 User: 4 Train Loss: -1.869
Round:  553 User: 25 Train Loss: -1.867
Round:  553 User: 26 Train Loss: -1.864
Round:  553 User: 28 Train Loss: -1.864
count 4
Round:  553 Train Loss: -1.866
centeral clustering:
Round:  554 User: 1 Train Loss: -1.856
Round:  554 User: 9 Train Loss: -1.863
Round:  554 User: 17 Train Loss: -1.870
Round:  554 User: 23 Train Loss: -1.858
count 4
Round:  554 Train Loss: -1.862
centeral clustering:
Global  NMI = 0.4517 ARI = 0.3225 F = 0.3913 ACC = 0.5262
Round:  555 User: 6 Train Loss: -1.847
Round:  555 User: 21 Train Loss: -1.852
Round:  555 User: 26 Train Loss: -1.855
Round:  555 User: 31 Train Loss: -1.857
count 4
Round:  555 Train Loss: -1.852
centeral clustering:
Round:  556 User: 5 Train Loss: -1.862
Round:  556 User: 24 Train Loss: -1.866
Round:  556 User: 25 Train Loss: -1.861
Round:  556 User: 28 Train Loss: -1.864
count 4
Round:  556 Train Loss: -1.863
centeral clustering:
Round:  557 User: 3 Train Loss: -1.860
Round:  557 User: 4 Train Loss: -1.860
Round:  557 User: 9 Train Loss: -1.866
Round:  557 User: 18 Train Loss: -1.864
count 4
Round:  557 Train Loss: -1.862
centeral clustering:
Round:  558 User: 2 Train Loss: -1.870
Round:  558 User: 8 Train Loss: -1.855
Round:  558 User: 9 Train Loss: -1.862
Round:  558 User: 10 Train Loss: -1.849
count 4
Round:  558 Train Loss: -1.859
centeral clustering:
Round:  559 User: 0 Train Loss: -1.849
Round:  559 User: 9 Train Loss: -1.868
Round:  559 User: 19 Train Loss: -1.861
Round:  559 User: 37 Train Loss: -1.868
count 4
Round:  559 Train Loss: -1.862
centeral clustering:
Global  NMI = 0.4672 ARI = 0.3348 F = 0.4030 ACC = 0.5409
Global  NMI = 0.4678 ARI = 0.3373 F = 0.4052 ACC = 0.5415
Round:  560 User: 0 Train Loss: -1.857
Round:  560 User: 14 Train Loss: -1.867
Round:  560 User: 17 Train Loss: -1.873
Round:  560 User: 26 Train Loss: -1.854
count 4
Round:  560 Train Loss: -1.863
centeral clustering:
Round:  561 User: 2 Train Loss: -1.867
Round:  561 User: 6 Train Loss: -1.865
Round:  561 User: 21 Train Loss: -1.862
Round:  561 User: 25 Train Loss: -1.865
count 4
Round:  561 Train Loss: -1.865
centeral clustering:
Round:  562 User: 5 Train Loss: -1.867
Round:  562 User: 17 Train Loss: -1.861
Round:  562 User: 26 Train Loss: -1.862
Round:  562 User: 34 Train Loss: -1.858
count 4
Round:  562 Train Loss: -1.862
centeral clustering:
Round:  563 User: 20 Train Loss: -1.869
Round:  563 User: 21 Train Loss: -1.867
Round:  563 User: 31 Train Loss: -1.861
Round:  563 User: 39 Train Loss: -1.867
count 4
Round:  563 Train Loss: -1.866
centeral clustering:
Round:  564 User: 8 Train Loss: -1.864
Round:  564 User: 12 Train Loss: -1.869
Round:  564 User: 15 Train Loss: -1.857
Round:  564 User: 33 Train Loss: -1.865
count 4
Round:  564 Train Loss: -1.864
centeral clustering:
Global  NMI = 0.4644 ARI = 0.3497 F = 0.4178 ACC = 0.5510
Round:  565 User: 1 Train Loss: -1.852
Round:  565 User: 17 Train Loss: -1.866
Round:  565 User: 23 Train Loss: -1.853
Round:  565 User: 36 Train Loss: -1.859
count 4
Round:  565 Train Loss: -1.857
centeral clustering:
Round:  566 User: 1 Train Loss: -1.867
Round:  566 User: 8 Train Loss: -1.865
Round:  566 User: 22 Train Loss: -1.861
Round:  566 User: 28 Train Loss: -1.859
count 4
Round:  566 Train Loss: -1.863
centeral clustering:
Round:  567 User: 1 Train Loss: -1.870
Round:  567 User: 10 Train Loss: -1.851
Round:  567 User: 15 Train Loss: -1.864
Round:  567 User: 31 Train Loss: -1.860
count 4
Round:  567 Train Loss: -1.861
centeral clustering:
Round:  568 User: 4 Train Loss: -1.863
Round:  568 User: 8 Train Loss: -1.863
Round:  568 User: 33 Train Loss: -1.873
Round:  568 User: 35 Train Loss: -1.863
count 4
Round:  568 Train Loss: -1.865
centeral clustering:
Round:  569 User: 15 Train Loss: -1.856
Round:  569 User: 26 Train Loss: -1.860
Round:  569 User: 34 Train Loss: -1.868
Round:  569 User: 35 Train Loss: -1.863
count 4
Round:  569 Train Loss: -1.862
centeral clustering:
Global  NMI = 0.4645 ARI = 0.3529 F = 0.4207 ACC = 0.5502
Round:  570 User: 11 Train Loss: -1.866
Round:  570 User: 21 Train Loss: -1.860
Round:  570 User: 27 Train Loss: -1.867
Round:  570 User: 30 Train Loss: -1.858
count 4
Round:  570 Train Loss: -1.863
centeral clustering:
Round:  571 User: 10 Train Loss: -1.864
Round:  571 User: 26 Train Loss: -1.861
Round:  571 User: 30 Train Loss: -1.867
Round:  571 User: 39 Train Loss: -1.869
count 4
Round:  571 Train Loss: -1.865
centeral clustering:
Round:  572 User: 9 Train Loss: -1.868
Round:  572 User: 19 Train Loss: -1.861
Round:  572 User: 32 Train Loss: -1.877
Round:  572 User: 36 Train Loss: -1.859
count 4
Round:  572 Train Loss: -1.867
centeral clustering:
Round:  573 User: 4 Train Loss: -1.864
Round:  573 User: 16 Train Loss: -1.868
Round:  573 User: 19 Train Loss: -1.871
Round:  573 User: 31 Train Loss: -1.864
count 4
Round:  573 Train Loss: -1.867
centeral clustering:
Round:  574 User: 8 Train Loss: -1.875
Round:  574 User: 24 Train Loss: -1.875
Round:  574 User: 29 Train Loss: -1.865
Round:  574 User: 32 Train Loss: -1.873
count 4
Round:  574 Train Loss: -1.872
centeral clustering:
Global  NMI = 0.4756 ARI = 0.3589 F = 0.4255 ACC = 0.5572
Round:  575 User: 8 Train Loss: -1.863
Round:  575 User: 25 Train Loss: -1.868
Round:  575 User: 37 Train Loss: -1.858
Round:  575 User: 38 Train Loss: -1.863
count 4
Round:  575 Train Loss: -1.863
centeral clustering:
Round:  576 User: 15 Train Loss: -1.856
Round:  576 User: 17 Train Loss: -1.875
Round:  576 User: 23 Train Loss: -1.865
Round:  576 User: 29 Train Loss: -1.873
count 4
Round:  576 Train Loss: -1.867
centeral clustering:
Round:  577 User: 2 Train Loss: -1.875
Round:  577 User: 18 Train Loss: -1.863
Round:  577 User: 23 Train Loss: -1.863
Round:  577 User: 25 Train Loss: -1.873
count 4
Round:  577 Train Loss: -1.868
centeral clustering:
Round:  578 User: 22 Train Loss: -1.874
Round:  578 User: 25 Train Loss: -1.872
Round:  578 User: 29 Train Loss: -1.869
Round:  578 User: 30 Train Loss: -1.862
count 4
Round:  578 Train Loss: -1.869
centeral clustering:
Round:  579 User: 0 Train Loss: -1.856
Round:  579 User: 8 Train Loss: -1.869
Round:  579 User: 13 Train Loss: -1.875
Round:  579 User: 23 Train Loss: -1.863
count 4
Round:  579 Train Loss: -1.866
centeral clustering:
Global  NMI = 0.4791 ARI = 0.3654 F = 0.4317 ACC = 0.5597
Global  NMI = 0.4804 ARI = 0.3666 F = 0.4333 ACC = 0.5599
Round:  580 User: 24 Train Loss: -1.875
Round:  580 User: 30 Train Loss: -1.868
Round:  580 User: 32 Train Loss: -1.878
Round:  580 User: 38 Train Loss: -1.866
count 4
Round:  580 Train Loss: -1.872
centeral clustering:
Round:  581 User: 11 Train Loss: -1.876
Round:  581 User: 20 Train Loss: -1.871
Round:  581 User: 25 Train Loss: -1.875
Round:  581 User: 38 Train Loss: -1.870
count 4
Round:  581 Train Loss: -1.873
centeral clustering:
Round:  582 User: 1 Train Loss: -1.871
Round:  582 User: 19 Train Loss: -1.861
Round:  582 User: 26 Train Loss: -1.873
Round:  582 User: 29 Train Loss: -1.874
count 4
Round:  582 Train Loss: -1.870
centeral clustering:
Round:  583 User: 10 Train Loss: -1.868
Round:  583 User: 13 Train Loss: -1.863
Round:  583 User: 15 Train Loss: -1.869
Round:  583 User: 27 Train Loss: -1.873
count 4
Round:  583 Train Loss: -1.868
centeral clustering:
Round:  584 User: 3 Train Loss: -1.865
Round:  584 User: 5 Train Loss: -1.868
Round:  584 User: 13 Train Loss: -1.869
Round:  584 User: 26 Train Loss: -1.868
count 4
Round:  584 Train Loss: -1.867
centeral clustering:
Global  NMI = 0.4697 ARI = 0.3678 F = 0.4333 ACC = 0.5785
Round:  585 User: 3 Train Loss: -1.871
Round:  585 User: 9 Train Loss: -1.866
Round:  585 User: 12 Train Loss: -1.877
Round:  585 User: 33 Train Loss: -1.876
count 4
Round:  585 Train Loss: -1.873
centeral clustering:
Round:  586 User: 2 Train Loss: -1.880
Round:  586 User: 22 Train Loss: -1.868
Round:  586 User: 32 Train Loss: -1.879
Round:  586 User: 37 Train Loss: -1.858
count 4
Round:  586 Train Loss: -1.871
centeral clustering:
Round:  587 User: 6 Train Loss: -1.866
Round:  587 User: 10 Train Loss: -1.875
Round:  587 User: 16 Train Loss: -1.867
Round:  587 User: 24 Train Loss: -1.874
count 4
Round:  587 Train Loss: -1.870
centeral clustering:
Round:  588 User: 7 Train Loss: -1.870
Round:  588 User: 35 Train Loss: -1.867
Round:  588 User: 37 Train Loss: -1.871
Round:  588 User: 38 Train Loss: -1.876
count 4
Round:  588 Train Loss: -1.871
centeral clustering:
Round:  589 User: 4 Train Loss: -1.872
Round:  589 User: 8 Train Loss: -1.869
Round:  589 User: 28 Train Loss: -1.869
Round:  589 User: 36 Train Loss: -1.860
count 4
Round:  589 Train Loss: -1.867
centeral clustering:
Global  NMI = 0.4545 ARI = 0.3325 F = 0.4027 ACC = 0.5447
Round:  590 User: 18 Train Loss: -1.870
Round:  590 User: 28 Train Loss: -1.870
Round:  590 User: 31 Train Loss: -1.866
Round:  590 User: 35 Train Loss: -1.868
count 4
Round:  590 Train Loss: -1.868
centeral clustering:
Round:  591 User: 13 Train Loss: -1.861
Round:  591 User: 15 Train Loss: -1.870
Round:  591 User: 26 Train Loss: -1.869
Round:  591 User: 34 Train Loss: -1.865
count 4
Round:  591 Train Loss: -1.866
centeral clustering:
Round:  592 User: 10 Train Loss: -1.870
Round:  592 User: 14 Train Loss: -1.865
Round:  592 User: 21 Train Loss: -1.863
Round:  592 User: 24 Train Loss: -1.872
count 4
Round:  592 Train Loss: -1.868
centeral clustering:
Round:  593 User: 10 Train Loss: -1.879
Round:  593 User: 11 Train Loss: -1.874
Round:  593 User: 15 Train Loss: -1.868
Round:  593 User: 38 Train Loss: -1.869
count 4
Round:  593 Train Loss: -1.873
centeral clustering:
Round:  594 User: 10 Train Loss: -1.863
Round:  594 User: 19 Train Loss: -1.869
Round:  594 User: 31 Train Loss: -1.872
Round:  594 User: 34 Train Loss: -1.869
count 4
Round:  594 Train Loss: -1.868
centeral clustering:
Global  NMI = 0.4666 ARI = 0.3506 F = 0.4198 ACC = 0.5459
Round:  595 User: 21 Train Loss: -1.878
Round:  595 User: 25 Train Loss: -1.880
Round:  595 User: 30 Train Loss: -1.867
Round:  595 User: 35 Train Loss: -1.875
count 4
Round:  595 Train Loss: -1.875
centeral clustering:
Round:  596 User: 8 Train Loss: -1.871
Round:  596 User: 13 Train Loss: -1.880
Round:  596 User: 19 Train Loss: -1.875
Round:  596 User: 25 Train Loss: -1.866
count 4
Round:  596 Train Loss: -1.873
centeral clustering:
Round:  597 User: 19 Train Loss: -1.877
Round:  597 User: 27 Train Loss: -1.869
Round:  597 User: 31 Train Loss: -1.868
Round:  597 User: 35 Train Loss: -1.866
count 4
Round:  597 Train Loss: -1.870
centeral clustering:
Round:  598 User: 7 Train Loss: -1.873
Round:  598 User: 21 Train Loss: -1.872
Round:  598 User: 29 Train Loss: -1.880
Round:  598 User: 35 Train Loss: -1.882
count 4
Round:  598 Train Loss: -1.877
centeral clustering:
Round:  599 User: 1 Train Loss: -1.874
Round:  599 User: 14 Train Loss: -1.868
Round:  599 User: 20 Train Loss: -1.873
Round:  599 User: 23 Train Loss: -1.882
count 4
Round:  599 Train Loss: -1.874
centeral clustering:
Global  NMI = 0.4612 ARI = 0.3372 F = 0.4073 ACC = 0.5391
Global  NMI = 0.4632 ARI = 0.3419 F = 0.4115 ACC = 0.5451
Round:  600 User: 9 Train Loss: -1.869
Round:  600 User: 11 Train Loss: -1.873
Round:  600 User: 28 Train Loss: -1.878
Round:  600 User: 31 Train Loss: -1.877
count 4
Round:  600 Train Loss: -1.874
centeral clustering:
Round:  601 User: 7 Train Loss: -1.867
Round:  601 User: 10 Train Loss: -1.878
Round:  601 User: 31 Train Loss: -1.875
Round:  601 User: 38 Train Loss: -1.880
count 4
Round:  601 Train Loss: -1.875
centeral clustering:
Round:  602 User: 0 Train Loss: -1.868
Round:  602 User: 18 Train Loss: -1.871
Round:  602 User: 30 Train Loss: -1.880
Round:  602 User: 38 Train Loss: -1.878
count 4
Round:  602 Train Loss: -1.874
centeral clustering:
Round:  603 User: 14 Train Loss: -1.880
Round:  603 User: 15 Train Loss: -1.874
Round:  603 User: 28 Train Loss: -1.871
Round:  603 User: 38 Train Loss: -1.883
count 4
Round:  603 Train Loss: -1.877
centeral clustering:
Round:  604 User: 7 Train Loss: -1.878
Round:  604 User: 9 Train Loss: -1.865
Round:  604 User: 13 Train Loss: -1.878
Round:  604 User: 21 Train Loss: -1.875
count 4
Round:  604 Train Loss: -1.874
centeral clustering:
Global  NMI = 0.4740 ARI = 0.3500 F = 0.4200 ACC = 0.5433
Round:  605 User: 5 Train Loss: -1.879
Round:  605 User: 11 Train Loss: -1.877
Round:  605 User: 32 Train Loss: -1.878
Round:  605 User: 37 Train Loss: -1.875
count 4
Round:  605 Train Loss: -1.877
centeral clustering:
Round:  606 User: 7 Train Loss: -1.883
Round:  606 User: 11 Train Loss: -1.884
Round:  606 User: 16 Train Loss: -1.870
Round:  606 User: 38 Train Loss: -1.869
count 4
Round:  606 Train Loss: -1.876
centeral clustering:
Round:  607 User: 6 Train Loss: -1.871
Round:  607 User: 26 Train Loss: -1.866
Round:  607 User: 27 Train Loss: -1.875
Round:  607 User: 31 Train Loss: -1.874
count 4
Round:  607 Train Loss: -1.872
centeral clustering:
Round:  608 User: 10 Train Loss: -1.879
Round:  608 User: 14 Train Loss: -1.881
Round:  608 User: 18 Train Loss: -1.875
Round:  608 User: 33 Train Loss: -1.872
count 4
Round:  608 Train Loss: -1.877
centeral clustering:
Round:  609 User: 3 Train Loss: -1.872
Round:  609 User: 4 Train Loss: -1.869
Round:  609 User: 19 Train Loss: -1.882
Round:  609 User: 25 Train Loss: -1.882
count 4
Round:  609 Train Loss: -1.876
centeral clustering:
Global  NMI = 0.4729 ARI = 0.3580 F = 0.4240 ACC = 0.5432
Round:  610 User: 7 Train Loss: -1.877
Round:  610 User: 24 Train Loss: -1.879
Round:  610 User: 30 Train Loss: -1.873
Round:  610 User: 34 Train Loss: -1.873
count 4
Round:  610 Train Loss: -1.876
centeral clustering:
Round:  611 User: 3 Train Loss: -1.869
Round:  611 User: 6 Train Loss: -1.878
Round:  611 User: 30 Train Loss: -1.876
Round:  611 User: 33 Train Loss: -1.875
count 4
Round:  611 Train Loss: -1.874
centeral clustering:
Round:  612 User: 3 Train Loss: -1.875
Round:  612 User: 9 Train Loss: -1.875
Round:  612 User: 15 Train Loss: -1.868
Round:  612 User: 38 Train Loss: -1.874
count 4
Round:  612 Train Loss: -1.873
centeral clustering:
Round:  613 User: 13 Train Loss: -1.870
Round:  613 User: 19 Train Loss: -1.874
Round:  613 User: 22 Train Loss: -1.889
Round:  613 User: 34 Train Loss: -1.871
count 4
Round:  613 Train Loss: -1.876
centeral clustering:
Round:  614 User: 19 Train Loss: -1.882
Round:  614 User: 29 Train Loss: -1.877
Round:  614 User: 30 Train Loss: -1.872
Round:  614 User: 33 Train Loss: -1.871
count 4
Round:  614 Train Loss: -1.876
centeral clustering:
Global  NMI = 0.4719 ARI = 0.3549 F = 0.4210 ACC = 0.5429
Round:  615 User: 4 Train Loss: -1.869
Round:  615 User: 28 Train Loss: -1.880
Round:  615 User: 30 Train Loss: -1.872
Round:  615 User: 39 Train Loss: -1.872
count 4
Round:  615 Train Loss: -1.873
centeral clustering:
Round:  616 User: 5 Train Loss: -1.867
Round:  616 User: 7 Train Loss: -1.876
Round:  616 User: 10 Train Loss: -1.880
Round:  616 User: 35 Train Loss: -1.878
count 4
Round:  616 Train Loss: -1.875
centeral clustering:
Round:  617 User: 1 Train Loss: -1.865
Round:  617 User: 6 Train Loss: -1.866
Round:  617 User: 14 Train Loss: -1.879
Round:  617 User: 38 Train Loss: -1.871
count 4
Round:  617 Train Loss: -1.870
centeral clustering:
Round:  618 User: 3 Train Loss: -1.874
Round:  618 User: 22 Train Loss: -1.875
Round:  618 User: 30 Train Loss: -1.875
Round:  618 User: 36 Train Loss: -1.873
count 4
Round:  618 Train Loss: -1.874
centeral clustering:
Round:  619 User: 16 Train Loss: -1.873
Round:  619 User: 25 Train Loss: -1.877
Round:  619 User: 31 Train Loss: -1.874
Round:  619 User: 35 Train Loss: -1.875
count 4
Round:  619 Train Loss: -1.875
centeral clustering:
Global  NMI = 0.4744 ARI = 0.3579 F = 0.4243 ACC = 0.5510
Global  NMI = 0.4749 ARI = 0.3602 F = 0.4266 ACC = 0.5516
Round:  620 User: 13 Train Loss: -1.868
Round:  620 User: 20 Train Loss: -1.874
Round:  620 User: 30 Train Loss: -1.875
Round:  620 User: 39 Train Loss: -1.882
count 4
Round:  620 Train Loss: -1.875
centeral clustering:
Round:  621 User: 7 Train Loss: -1.882
Round:  621 User: 9 Train Loss: -1.875
Round:  621 User: 14 Train Loss: -1.875
Round:  621 User: 22 Train Loss: -1.873
count 4
Round:  621 Train Loss: -1.876
centeral clustering:
Round:  622 User: 24 Train Loss: -1.873
Round:  622 User: 27 Train Loss: -1.872
Round:  622 User: 28 Train Loss: -1.878
Round:  622 User: 30 Train Loss: -1.880
count 4
Round:  622 Train Loss: -1.876
centeral clustering:
Round:  623 User: 2 Train Loss: -1.881
Round:  623 User: 13 Train Loss: -1.881
Round:  623 User: 27 Train Loss: -1.887
Round:  623 User: 30 Train Loss: -1.877
count 4
Round:  623 Train Loss: -1.881
centeral clustering:
Round:  624 User: 3 Train Loss: -1.889
Round:  624 User: 13 Train Loss: -1.874
Round:  624 User: 20 Train Loss: -1.884
Round:  624 User: 28 Train Loss: -1.875
count 4
Round:  624 Train Loss: -1.881
centeral clustering:
Global  NMI = 0.4844 ARI = 0.3705 F = 0.4352 ACC = 0.5558
Round:  625 User: 12 Train Loss: -1.888
Round:  625 User: 28 Train Loss: -1.879
Round:  625 User: 32 Train Loss: -1.874
Round:  625 User: 36 Train Loss: -1.873
count 4
Round:  625 Train Loss: -1.878
centeral clustering:
Round:  626 User: 3 Train Loss: -1.875
Round:  626 User: 4 Train Loss: -1.875
Round:  626 User: 7 Train Loss: -1.878
Round:  626 User: 22 Train Loss: -1.881
count 4
Round:  626 Train Loss: -1.877
centeral clustering:
Round:  627 User: 4 Train Loss: -1.871
Round:  627 User: 11 Train Loss: -1.884
Round:  627 User: 13 Train Loss: -1.874
Round:  627 User: 38 Train Loss: -1.879
count 4
Round:  627 Train Loss: -1.877
centeral clustering:
Round:  628 User: 11 Train Loss: -1.886
Round:  628 User: 18 Train Loss: -1.871
Round:  628 User: 19 Train Loss: -1.873
Round:  628 User: 36 Train Loss: -1.880
count 4
Round:  628 Train Loss: -1.878
centeral clustering:
Round:  629 User: 1 Train Loss: -1.874
Round:  629 User: 4 Train Loss: -1.876
Round:  629 User: 26 Train Loss: -1.880
Round:  629 User: 36 Train Loss: -1.877
count 4
Round:  629 Train Loss: -1.877
centeral clustering:
Global  NMI = 0.4810 ARI = 0.3702 F = 0.4354 ACC = 0.5578
Round:  630 User: 22 Train Loss: -1.881
Round:  630 User: 31 Train Loss: -1.877
Round:  630 User: 37 Train Loss: -1.874
Round:  630 User: 39 Train Loss: -1.878
count 4
Round:  630 Train Loss: -1.877
centeral clustering:
Round:  631 User: 10 Train Loss: -1.876
Round:  631 User: 12 Train Loss: -1.879
Round:  631 User: 27 Train Loss: -1.875
Round:  631 User: 33 Train Loss: -1.880
count 4
Round:  631 Train Loss: -1.878
centeral clustering:
Round:  632 User: 2 Train Loss: -1.872
Round:  632 User: 3 Train Loss: -1.869
Round:  632 User: 15 Train Loss: -1.878
Round:  632 User: 18 Train Loss: -1.877
count 4
Round:  632 Train Loss: -1.874
centeral clustering:
Round:  633 User: 1 Train Loss: -1.867
Round:  633 User: 6 Train Loss: -1.865
Round:  633 User: 15 Train Loss: -1.876
Round:  633 User: 17 Train Loss: -1.869
count 4
Round:  633 Train Loss: -1.869
centeral clustering:
Round:  634 User: 15 Train Loss: -1.877
Round:  634 User: 20 Train Loss: -1.878
Round:  634 User: 22 Train Loss: -1.879
Round:  634 User: 39 Train Loss: -1.881
count 4
Round:  634 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4783 ARI = 0.3643 F = 0.4296 ACC = 0.5556
Round:  635 User: 5 Train Loss: -1.867
Round:  635 User: 13 Train Loss: -1.880
Round:  635 User: 17 Train Loss: -1.874
Round:  635 User: 35 Train Loss: -1.874
count 4
Round:  635 Train Loss: -1.874
centeral clustering:
Round:  636 User: 6 Train Loss: -1.860
Round:  636 User: 8 Train Loss: -1.866
Round:  636 User: 12 Train Loss: -1.882
Round:  636 User: 29 Train Loss: -1.884
count 4
Round:  636 Train Loss: -1.873
centeral clustering:
Round:  637 User: 3 Train Loss: -1.871
Round:  637 User: 19 Train Loss: -1.873
Round:  637 User: 30 Train Loss: -1.878
Round:  637 User: 36 Train Loss: -1.876
count 4
Round:  637 Train Loss: -1.874
centeral clustering:
Round:  638 User: 6 Train Loss: -1.881
Round:  638 User: 20 Train Loss: -1.878
Round:  638 User: 35 Train Loss: -1.880
Round:  638 User: 39 Train Loss: -1.882
count 4
Round:  638 Train Loss: -1.880
centeral clustering:
Round:  639 User: 3 Train Loss: -1.876
Round:  639 User: 10 Train Loss: -1.879
Round:  639 User: 20 Train Loss: -1.877
Round:  639 User: 30 Train Loss: -1.879
count 4
Round:  639 Train Loss: -1.878
centeral clustering:
Global  NMI = 0.4803 ARI = 0.3659 F = 0.4316 ACC = 0.5595
Global  NMI = 0.4816 ARI = 0.3678 F = 0.4335 ACC = 0.5620
Round:  640 User: 5 Train Loss: -1.884
Round:  640 User: 35 Train Loss: -1.874
Round:  640 User: 38 Train Loss: -1.888
Round:  640 User: 39 Train Loss: -1.881
count 4
Round:  640 Train Loss: -1.882
centeral clustering:
Round:  641 User: 0 Train Loss: -1.877
Round:  641 User: 9 Train Loss: -1.875
Round:  641 User: 11 Train Loss: -1.887
Round:  641 User: 19 Train Loss: -1.869
count 4
Round:  641 Train Loss: -1.877
centeral clustering:
Round:  642 User: 6 Train Loss: -1.861
Round:  642 User: 13 Train Loss: -1.872
Round:  642 User: 15 Train Loss: -1.877
Round:  642 User: 34 Train Loss: -1.873
count 4
Round:  642 Train Loss: -1.871
centeral clustering:
Round:  643 User: 14 Train Loss: -1.880
Round:  643 User: 29 Train Loss: -1.875
Round:  643 User: 33 Train Loss: -1.875
Round:  643 User: 35 Train Loss: -1.874
count 4
Round:  643 Train Loss: -1.876
centeral clustering:
Round:  644 User: 0 Train Loss: -1.868
Round:  644 User: 3 Train Loss: -1.887
Round:  644 User: 6 Train Loss: -1.871
Round:  644 User: 22 Train Loss: -1.875
count 4
Round:  644 Train Loss: -1.875
centeral clustering:
Global  NMI = 0.4822 ARI = 0.3694 F = 0.4349 ACC = 0.5581
Round:  645 User: 4 Train Loss: -1.869
Round:  645 User: 20 Train Loss: -1.878
Round:  645 User: 22 Train Loss: -1.876
Round:  645 User: 35 Train Loss: -1.885
count 4
Round:  645 Train Loss: -1.877
centeral clustering:
Round:  646 User: 2 Train Loss: -1.885
Round:  646 User: 15 Train Loss: -1.869
Round:  646 User: 33 Train Loss: -1.890
Round:  646 User: 35 Train Loss: -1.881
count 4
Round:  646 Train Loss: -1.881
centeral clustering:
Round:  647 User: 11 Train Loss: -1.873
Round:  647 User: 12 Train Loss: -1.885
Round:  647 User: 23 Train Loss: -1.871
Round:  647 User: 36 Train Loss: -1.880
count 4
Round:  647 Train Loss: -1.877
centeral clustering:
Round:  648 User: 4 Train Loss: -1.879
Round:  648 User: 30 Train Loss: -1.886
Round:  648 User: 31 Train Loss: -1.888
Round:  648 User: 34 Train Loss: -1.882
count 4
Round:  648 Train Loss: -1.884
centeral clustering:
Round:  649 User: 3 Train Loss: -1.884
Round:  649 User: 8 Train Loss: -1.869
Round:  649 User: 10 Train Loss: -1.872
Round:  649 User: 37 Train Loss: -1.881
count 4
Round:  649 Train Loss: -1.876
centeral clustering:
Global  NMI = 0.4876 ARI = 0.3685 F = 0.4331 ACC = 0.5646
Round:  650 User: 1 Train Loss: -1.872
Round:  650 User: 9 Train Loss: -1.875
Round:  650 User: 18 Train Loss: -1.880
Round:  650 User: 31 Train Loss: -1.876
count 4
Round:  650 Train Loss: -1.876
centeral clustering:
Round:  651 User: 1 Train Loss: -1.873
Round:  651 User: 5 Train Loss: -1.881
Round:  651 User: 6 Train Loss: -1.874
Round:  651 User: 23 Train Loss: -1.869
count 4
Round:  651 Train Loss: -1.874
centeral clustering:
Round:  652 User: 24 Train Loss: -1.886
Round:  652 User: 25 Train Loss: -1.885
Round:  652 User: 27 Train Loss: -1.884
Round:  652 User: 33 Train Loss: -1.886
count 4
Round:  652 Train Loss: -1.885
centeral clustering:
Round:  653 User: 0 Train Loss: -1.878
Round:  653 User: 1 Train Loss: -1.880
Round:  653 User: 5 Train Loss: -1.881
Round:  653 User: 37 Train Loss: -1.879
count 4
Round:  653 Train Loss: -1.880
centeral clustering:
Round:  654 User: 2 Train Loss: -1.878
Round:  654 User: 29 Train Loss: -1.880
Round:  654 User: 31 Train Loss: -1.878
Round:  654 User: 38 Train Loss: -1.878
count 4
Round:  654 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4847 ARI = 0.3655 F = 0.4301 ACC = 0.5625
Round:  655 User: 24 Train Loss: -1.883
Round:  655 User: 25 Train Loss: -1.883
Round:  655 User: 28 Train Loss: -1.877
Round:  655 User: 35 Train Loss: -1.892
count 4
Round:  655 Train Loss: -1.884
centeral clustering:
Round:  656 User: 25 Train Loss: -1.884
Round:  656 User: 26 Train Loss: -1.875
Round:  656 User: 30 Train Loss: -1.882
Round:  656 User: 31 Train Loss: -1.875
count 4
Round:  656 Train Loss: -1.879
centeral clustering:
Round:  657 User: 15 Train Loss: -1.881
Round:  657 User: 25 Train Loss: -1.880
Round:  657 User: 30 Train Loss: -1.877
Round:  657 User: 31 Train Loss: -1.886
count 4
Round:  657 Train Loss: -1.881
centeral clustering:
Round:  658 User: 1 Train Loss: -1.873
Round:  658 User: 7 Train Loss: -1.876
Round:  658 User: 9 Train Loss: -1.877
Round:  658 User: 17 Train Loss: -1.883
count 4
Round:  658 Train Loss: -1.877
centeral clustering:
Round:  659 User: 17 Train Loss: -1.875
Round:  659 User: 20 Train Loss: -1.878
Round:  659 User: 30 Train Loss: -1.876
Round:  659 User: 35 Train Loss: -1.877
count 4
Round:  659 Train Loss: -1.876
centeral clustering:
Global  NMI = 0.4792 ARI = 0.3552 F = 0.4210 ACC = 0.5646
Global  NMI = 0.4807 ARI = 0.3602 F = 0.4266 ACC = 0.5525
Round:  660 User: 16 Train Loss: -1.877
Round:  660 User: 21 Train Loss: -1.870
Round:  660 User: 29 Train Loss: -1.884
Round:  660 User: 39 Train Loss: -1.874
count 4
Round:  660 Train Loss: -1.876
centeral clustering:
Round:  661 User: 12 Train Loss: -1.881
Round:  661 User: 14 Train Loss: -1.880
Round:  661 User: 23 Train Loss: -1.879
Round:  661 User: 28 Train Loss: -1.878
count 4
Round:  661 Train Loss: -1.879
centeral clustering:
Round:  662 User: 22 Train Loss: -1.887
Round:  662 User: 30 Train Loss: -1.882
Round:  662 User: 32 Train Loss: -1.889
Round:  662 User: 36 Train Loss: -1.867
count 4
Round:  662 Train Loss: -1.881
centeral clustering:
Round:  663 User: 2 Train Loss: -1.877
Round:  663 User: 16 Train Loss: -1.884
Round:  663 User: 24 Train Loss: -1.878
Round:  663 User: 39 Train Loss: -1.872
count 4
Round:  663 Train Loss: -1.878
centeral clustering:
Round:  664 User: 1 Train Loss: -1.888
Round:  664 User: 2 Train Loss: -1.881
Round:  664 User: 8 Train Loss: -1.874
Round:  664 User: 12 Train Loss: -1.890
count 4
Round:  664 Train Loss: -1.883
centeral clustering:
Global  NMI = 0.4806 ARI = 0.3533 F = 0.4199 ACC = 0.5649
Round:  665 User: 15 Train Loss: -1.871
Round:  665 User: 24 Train Loss: -1.885
Round:  665 User: 28 Train Loss: -1.876
Round:  665 User: 38 Train Loss: -1.888
count 4
Round:  665 Train Loss: -1.880
centeral clustering:
Round:  666 User: 2 Train Loss: -1.885
Round:  666 User: 12 Train Loss: -1.891
Round:  666 User: 16 Train Loss: -1.882
Round:  666 User: 33 Train Loss: -1.878
count 4
Round:  666 Train Loss: -1.884
centeral clustering:
Round:  667 User: 4 Train Loss: -1.883
Round:  667 User: 8 Train Loss: -1.875
Round:  667 User: 13 Train Loss: -1.873
Round:  667 User: 21 Train Loss: -1.870
count 4
Round:  667 Train Loss: -1.875
centeral clustering:
Round:  668 User: 8 Train Loss: -1.882
Round:  668 User: 12 Train Loss: -1.883
Round:  668 User: 33 Train Loss: -1.867
Round:  668 User: 34 Train Loss: -1.880
count 4
Round:  668 Train Loss: -1.878
centeral clustering:
Round:  669 User: 11 Train Loss: -1.879
Round:  669 User: 23 Train Loss: -1.880
Round:  669 User: 24 Train Loss: -1.883
Round:  669 User: 26 Train Loss: -1.875
count 4
Round:  669 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4725 ARI = 0.3454 F = 0.4122 ACC = 0.5504
Round:  670 User: 2 Train Loss: -1.888
Round:  670 User: 13 Train Loss: -1.872
Round:  670 User: 30 Train Loss: -1.872
Round:  670 User: 38 Train Loss: -1.877
count 4
Round:  670 Train Loss: -1.877
centeral clustering:
Round:  671 User: 15 Train Loss: -1.874
Round:  671 User: 20 Train Loss: -1.875
Round:  671 User: 25 Train Loss: -1.880
Round:  671 User: 39 Train Loss: -1.862
count 4
Round:  671 Train Loss: -1.873
centeral clustering:
Round:  672 User: 11 Train Loss: -1.884
Round:  672 User: 21 Train Loss: -1.879
Round:  672 User: 22 Train Loss: -1.885
Round:  672 User: 29 Train Loss: -1.878
count 4
Round:  672 Train Loss: -1.882
centeral clustering:
Round:  673 User: 3 Train Loss: -1.886
Round:  673 User: 29 Train Loss: -1.881
Round:  673 User: 31 Train Loss: -1.879
Round:  673 User: 35 Train Loss: -1.875
count 4
Round:  673 Train Loss: -1.880
centeral clustering:
Round:  674 User: 2 Train Loss: -1.888
Round:  674 User: 10 Train Loss: -1.874
Round:  674 User: 20 Train Loss: -1.879
Round:  674 User: 32 Train Loss: -1.877
count 4
Round:  674 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4729 ARI = 0.3467 F = 0.4143 ACC = 0.5530
Round:  675 User: 2 Train Loss: -1.882
Round:  675 User: 19 Train Loss: -1.884
Round:  675 User: 24 Train Loss: -1.886
Round:  675 User: 33 Train Loss: -1.876
count 4
Round:  675 Train Loss: -1.882
centeral clustering:
Round:  676 User: 4 Train Loss: -1.881
Round:  676 User: 17 Train Loss: -1.877
Round:  676 User: 27 Train Loss: -1.877
Round:  676 User: 38 Train Loss: -1.881
count 4
Round:  676 Train Loss: -1.879
centeral clustering:
Round:  677 User: 2 Train Loss: -1.878
Round:  677 User: 18 Train Loss: -1.871
Round:  677 User: 24 Train Loss: -1.888
Round:  677 User: 28 Train Loss: -1.883
count 4
Round:  677 Train Loss: -1.880
centeral clustering:
Round:  678 User: 2 Train Loss: -1.889
Round:  678 User: 15 Train Loss: -1.877
Round:  678 User: 25 Train Loss: -1.888
Round:  678 User: 27 Train Loss: -1.877
count 4
Round:  678 Train Loss: -1.883
centeral clustering:
Round:  679 User: 0 Train Loss: -1.877
Round:  679 User: 7 Train Loss: -1.879
Round:  679 User: 13 Train Loss: -1.880
Round:  679 User: 35 Train Loss: -1.880
count 4
Round:  679 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4837 ARI = 0.3650 F = 0.4306 ACC = 0.5555
Global  NMI = 0.4861 ARI = 0.3671 F = 0.4332 ACC = 0.5465
Round:  680 User: 6 Train Loss: -1.879
Round:  680 User: 14 Train Loss: -1.883
Round:  680 User: 21 Train Loss: -1.875
Round:  680 User: 34 Train Loss: -1.882
count 4
Round:  680 Train Loss: -1.880
centeral clustering:
Round:  681 User: 9 Train Loss: -1.879
Round:  681 User: 13 Train Loss: -1.875
Round:  681 User: 15 Train Loss: -1.883
Round:  681 User: 39 Train Loss: -1.884
count 4
Round:  681 Train Loss: -1.880
centeral clustering:
Round:  682 User: 12 Train Loss: -1.887
Round:  682 User: 13 Train Loss: -1.882
Round:  682 User: 14 Train Loss: -1.885
Round:  682 User: 35 Train Loss: -1.880
count 4
Round:  682 Train Loss: -1.884
centeral clustering:
Round:  683 User: 7 Train Loss: -1.886
Round:  683 User: 9 Train Loss: -1.880
Round:  683 User: 11 Train Loss: -1.886
Round:  683 User: 18 Train Loss: -1.878
count 4
Round:  683 Train Loss: -1.882
centeral clustering:
Round:  684 User: 9 Train Loss: -1.890
Round:  684 User: 13 Train Loss: -1.882
Round:  684 User: 28 Train Loss: -1.880
Round:  684 User: 36 Train Loss: -1.889
count 4
Round:  684 Train Loss: -1.885
centeral clustering:
Global  NMI = 0.4904 ARI = 0.3648 F = 0.4304 ACC = 0.5508
Round:  685 User: 4 Train Loss: -1.883
Round:  685 User: 5 Train Loss: -1.882
Round:  685 User: 31 Train Loss: -1.886
Round:  685 User: 32 Train Loss: -1.891
count 4
Round:  685 Train Loss: -1.886
centeral clustering:
Round:  686 User: 4 Train Loss: -1.878
Round:  686 User: 5 Train Loss: -1.879
Round:  686 User: 11 Train Loss: -1.881
Round:  686 User: 39 Train Loss: -1.886
count 4
Round:  686 Train Loss: -1.881
centeral clustering:
Round:  687 User: 6 Train Loss: -1.881
Round:  687 User: 29 Train Loss: -1.881
Round:  687 User: 31 Train Loss: -1.891
Round:  687 User: 35 Train Loss: -1.890
count 4
Round:  687 Train Loss: -1.886
centeral clustering:
Round:  688 User: 0 Train Loss: -1.873
Round:  688 User: 30 Train Loss: -1.895
Round:  688 User: 34 Train Loss: -1.871
Round:  688 User: 35 Train Loss: -1.880
count 4
Round:  688 Train Loss: -1.880
centeral clustering:
Round:  689 User: 5 Train Loss: -1.885
Round:  689 User: 29 Train Loss: -1.878
Round:  689 User: 35 Train Loss: -1.872
Round:  689 User: 37 Train Loss: -1.881
count 4
Round:  689 Train Loss: -1.879
centeral clustering:
Global  NMI = 0.4868 ARI = 0.3589 F = 0.4260 ACC = 0.5481
Round:  690 User: 9 Train Loss: -1.885
Round:  690 User: 11 Train Loss: -1.887
Round:  690 User: 18 Train Loss: -1.881
Round:  690 User: 23 Train Loss: -1.878
count 4
Round:  690 Train Loss: -1.883
centeral clustering:
Round:  691 User: 5 Train Loss: -1.885
Round:  691 User: 12 Train Loss: -1.892
Round:  691 User: 18 Train Loss: -1.881
Round:  691 User: 34 Train Loss: -1.889
count 4
Round:  691 Train Loss: -1.887
centeral clustering:
Round:  692 User: 0 Train Loss: -1.876
Round:  692 User: 9 Train Loss: -1.888
Round:  692 User: 28 Train Loss: -1.880
Round:  692 User: 32 Train Loss: -1.885
count 4
Round:  692 Train Loss: -1.882
centeral clustering:
Round:  693 User: 1 Train Loss: -1.882
Round:  693 User: 5 Train Loss: -1.884
Round:  693 User: 12 Train Loss: -1.890
Round:  693 User: 16 Train Loss: -1.885
count 4
Round:  693 Train Loss: -1.885
centeral clustering:
Round:  694 User: 20 Train Loss: -1.889
Round:  694 User: 22 Train Loss: -1.883
Round:  694 User: 36 Train Loss: -1.880
Round:  694 User: 39 Train Loss: -1.878
count 4
Round:  694 Train Loss: -1.882
centeral clustering:
Global  NMI = 0.4849 ARI = 0.3522 F = 0.4198 ACC = 0.5422
Round:  695 User: 0 Train Loss: -1.885
Round:  695 User: 7 Train Loss: -1.880
Round:  695 User: 15 Train Loss: -1.885
Round:  695 User: 30 Train Loss: -1.876
count 4
Round:  695 Train Loss: -1.882
centeral clustering:
Round:  696 User: 10 Train Loss: -1.893
Round:  696 User: 31 Train Loss: -1.877
Round:  696 User: 33 Train Loss: -1.887
Round:  696 User: 36 Train Loss: -1.887
count 4
Round:  696 Train Loss: -1.886
centeral clustering:
Round:  697 User: 0 Train Loss: -1.878
Round:  697 User: 3 Train Loss: -1.888
Round:  697 User: 11 Train Loss: -1.891
Round:  697 User: 13 Train Loss: -1.869
count 4
Round:  697 Train Loss: -1.882
centeral clustering:
Round:  698 User: 7 Train Loss: -1.884
Round:  698 User: 8 Train Loss: -1.883
Round:  698 User: 11 Train Loss: -1.889
Round:  698 User: 12 Train Loss: -1.891
count 4
Round:  698 Train Loss: -1.887
centeral clustering:
Round:  699 User: 2 Train Loss: -1.886
Round:  699 User: 6 Train Loss: -1.876
Round:  699 User: 9 Train Loss: -1.890
Round:  699 User: 11 Train Loss: -1.889
count 4
Round:  699 Train Loss: -1.885
centeral clustering:
Global  NMI = 0.4769 ARI = 0.3470 F = 0.4143 ACC = 0.5513
Global  NMI = 0.4777 ARI = 0.3475 F = 0.4149 ACC = 0.5464
Round:  700 User: 0 Train Loss: -1.877
Round:  700 User: 2 Train Loss: -1.887
Round:  700 User: 30 Train Loss: -1.882
Round:  700 User: 33 Train Loss: -1.874
count 4
Round:  700 Train Loss: -1.880
centeral clustering:
Round:  701 User: 8 Train Loss: -1.884
Round:  701 User: 13 Train Loss: -1.893
Round:  701 User: 15 Train Loss: -1.883
Round:  701 User: 21 Train Loss: -1.886
count 4
Round:  701 Train Loss: -1.886
centeral clustering:
Round:  702 User: 13 Train Loss: -1.885
Round:  702 User: 29 Train Loss: -1.892
Round:  702 User: 32 Train Loss: -1.887
Round:  702 User: 37 Train Loss: -1.883
count 4
Round:  702 Train Loss: -1.887
centeral clustering:
Round:  703 User: 7 Train Loss: -1.872
Round:  703 User: 26 Train Loss: -1.881
Round:  703 User: 33 Train Loss: -1.884
Round:  703 User: 37 Train Loss: -1.886
count 4
Round:  703 Train Loss: -1.881
centeral clustering:
Round:  704 User: 0 Train Loss: -1.887
Round:  704 User: 1 Train Loss: -1.882
Round:  704 User: 18 Train Loss: -1.884
Round:  704 User: 19 Train Loss: -1.875
count 4
Round:  704 Train Loss: -1.882
centeral clustering:
Global  NMI = 0.4782 ARI = 0.3489 F = 0.4167 ACC = 0.5630
Round:  705 User: 9 Train Loss: -1.888
Round:  705 User: 11 Train Loss: -1.893
Round:  705 User: 12 Train Loss: -1.888
Round:  705 User: 33 Train Loss: -1.879
count 4
Round:  705 Train Loss: -1.887
centeral clustering:
Round:  706 User: 6 Train Loss: -1.883
Round:  706 User: 17 Train Loss: -1.894
Round:  706 User: 23 Train Loss: -1.877
Round:  706 User: 25 Train Loss: -1.897
count 4
Round:  706 Train Loss: -1.887
centeral clustering:
Round:  707 User: 3 Train Loss: -1.887
Round:  707 User: 7 Train Loss: -1.883
Round:  707 User: 15 Train Loss: -1.880
Round:  707 User: 38 Train Loss: -1.880
count 4
Round:  707 Train Loss: -1.883
centeral clustering:
Round:  708 User: 3 Train Loss: -1.885
Round:  708 User: 10 Train Loss: -1.883
Round:  708 User: 13 Train Loss: -1.888
Round:  708 User: 36 Train Loss: -1.891
count 4
Round:  708 Train Loss: -1.887
centeral clustering:
Round:  709 User: 10 Train Loss: -1.893
Round:  709 User: 16 Train Loss: -1.887
Round:  709 User: 34 Train Loss: -1.874
Round:  709 User: 39 Train Loss: -1.886
count 4
Round:  709 Train Loss: -1.885
centeral clustering:
Global  NMI = 0.4639 ARI = 0.3292 F = 0.4004 ACC = 0.5265
Round:  710 User: 6 Train Loss: -1.881
Round:  710 User: 8 Train Loss: -1.880
Round:  710 User: 17 Train Loss: -1.883
Round:  710 User: 20 Train Loss: -1.885
count 4
Round:  710 Train Loss: -1.882
centeral clustering:
Round:  711 User: 4 Train Loss: -1.878
Round:  711 User: 23 Train Loss: -1.878
Round:  711 User: 27 Train Loss: -1.886
Round:  711 User: 39 Train Loss: -1.891
count 4
Round:  711 Train Loss: -1.883
centeral clustering:
Round:  712 User: 12 Train Loss: -1.889
Round:  712 User: 19 Train Loss: -1.881
Round:  712 User: 30 Train Loss: -1.885
Round:  712 User: 31 Train Loss: -1.875
count 4
Round:  712 Train Loss: -1.883
centeral clustering:
Round:  713 User: 6 Train Loss: -1.885
Round:  713 User: 32 Train Loss: -1.896
Round:  713 User: 34 Train Loss: -1.879
Round:  713 User: 35 Train Loss: -1.884
count 4
Round:  713 Train Loss: -1.886
centeral clustering:
Round:  714 User: 19 Train Loss: -1.890
Round:  714 User: 26 Train Loss: -1.877
Round:  714 User: 31 Train Loss: -1.876
Round:  714 User: 34 Train Loss: -1.890
count 4
Round:  714 Train Loss: -1.883
centeral clustering:
Global  NMI = 0.4966 ARI = 0.3739 F = 0.4394 ACC = 0.5590
Round:  715 User: 9 Train Loss: -1.892
Round:  715 User: 20 Train Loss: -1.886
Round:  715 User: 38 Train Loss: -1.889
Round:  715 User: 39 Train Loss: -1.882
count 4
Round:  715 Train Loss: -1.887
centeral clustering:
Round:  716 User: 11 Train Loss: -1.881
Round:  716 User: 14 Train Loss: -1.888
Round:  716 User: 27 Train Loss: -1.884
Round:  716 User: 32 Train Loss: -1.887
count 4
Round:  716 Train Loss: -1.885
centeral clustering:
Round:  717 User: 5 Train Loss: -1.881
Round:  717 User: 9 Train Loss: -1.886
Round:  717 User: 12 Train Loss: -1.889
Round:  717 User: 33 Train Loss: -1.886
count 4
Round:  717 Train Loss: -1.886
centeral clustering:
Round:  718 User: 9 Train Loss: -1.887
Round:  718 User: 11 Train Loss: -1.887
Round:  718 User: 19 Train Loss: -1.883
Round:  718 User: 36 Train Loss: -1.886
count 4
Round:  718 Train Loss: -1.886
centeral clustering:
Round:  719 User: 12 Train Loss: -1.888
Round:  719 User: 15 Train Loss: -1.885
Round:  719 User: 25 Train Loss: -1.881
Round:  719 User: 39 Train Loss: -1.892
count 4
Round:  719 Train Loss: -1.887
centeral clustering:
Global  NMI = 0.4959 ARI = 0.3733 F = 0.4382 ACC = 0.5486
Global  NMI = 0.4955 ARI = 0.3739 F = 0.4389 ACC = 0.5494
Round:  720 User: 3 Train Loss: -1.885
Round:  720 User: 7 Train Loss: -1.886
Round:  720 User: 23 Train Loss: -1.875
Round:  720 User: 38 Train Loss: -1.885
count 4
Round:  720 Train Loss: -1.883
centeral clustering:
Round:  721 User: 2 Train Loss: -1.880
Round:  721 User: 4 Train Loss: -1.886
Round:  721 User: 5 Train Loss: -1.886
Round:  721 User: 27 Train Loss: -1.886
count 4
Round:  721 Train Loss: -1.884
centeral clustering:
Round:  722 User: 16 Train Loss: -1.887
Round:  722 User: 31 Train Loss: -1.884
Round:  722 User: 36 Train Loss: -1.884
Round:  722 User: 37 Train Loss: -1.890
count 4
Round:  722 Train Loss: -1.886
centeral clustering:
Round:  723 User: 2 Train Loss: -1.888
Round:  723 User: 11 Train Loss: -1.888
Round:  723 User: 13 Train Loss: -1.878
Round:  723 User: 31 Train Loss: -1.883
count 4
Round:  723 Train Loss: -1.884
centeral clustering:
Round:  724 User: 17 Train Loss: -1.879
Round:  724 User: 26 Train Loss: -1.885
Round:  724 User: 32 Train Loss: -1.883
Round:  724 User: 36 Train Loss: -1.883
count 4
Round:  724 Train Loss: -1.882
centeral clustering:
Global  NMI = 0.4937 ARI = 0.3742 F = 0.4399 ACC = 0.5535
Round:  725 User: 6 Train Loss: -1.886
Round:  725 User: 21 Train Loss: -1.885
Round:  725 User: 28 Train Loss: -1.880
Round:  725 User: 31 Train Loss: -1.883
count 4
Round:  725 Train Loss: -1.883
centeral clustering:
Round:  726 User: 12 Train Loss: -1.886
Round:  726 User: 20 Train Loss: -1.880
Round:  726 User: 22 Train Loss: -1.879
Round:  726 User: 29 Train Loss: -1.892
count 4
Round:  726 Train Loss: -1.884
centeral clustering:
Round:  727 User: 23 Train Loss: -1.879
Round:  727 User: 24 Train Loss: -1.894
Round:  727 User: 30 Train Loss: -1.885
Round:  727 User: 35 Train Loss: -1.882
count 4
Round:  727 Train Loss: -1.885
centeral clustering:
Round:  728 User: 1 Train Loss: -1.884
Round:  728 User: 11 Train Loss: -1.877
Round:  728 User: 18 Train Loss: -1.876
Round:  728 User: 35 Train Loss: -1.885
count 4
Round:  728 Train Loss: -1.880
centeral clustering:
Round:  729 User: 21 Train Loss: -1.882
Round:  729 User: 24 Train Loss: -1.891
Round:  729 User: 34 Train Loss: -1.885
Round:  729 User: 35 Train Loss: -1.894
count 4
Round:  729 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.4921 ARI = 0.3691 F = 0.4356 ACC = 0.5388
Round:  730 User: 3 Train Loss: -1.885
Round:  730 User: 25 Train Loss: -1.883
Round:  730 User: 31 Train Loss: -1.887
Round:  730 User: 38 Train Loss: -1.882
count 4
Round:  730 Train Loss: -1.884
centeral clustering:
Round:  731 User: 6 Train Loss: -1.885
Round:  731 User: 24 Train Loss: -1.884
Round:  731 User: 28 Train Loss: -1.881
Round:  731 User: 37 Train Loss: -1.888
count 4
Round:  731 Train Loss: -1.885
centeral clustering:
Round:  732 User: 9 Train Loss: -1.883
Round:  732 User: 10 Train Loss: -1.886
Round:  732 User: 21 Train Loss: -1.886
Round:  732 User: 33 Train Loss: -1.881
count 4
Round:  732 Train Loss: -1.884
centeral clustering:
Round:  733 User: 2 Train Loss: -1.886
Round:  733 User: 22 Train Loss: -1.885
Round:  733 User: 24 Train Loss: -1.886
Round:  733 User: 31 Train Loss: -1.886
count 4
Round:  733 Train Loss: -1.886
centeral clustering:
Round:  734 User: 6 Train Loss: -1.874
Round:  734 User: 10 Train Loss: -1.883
Round:  734 User: 13 Train Loss: -1.884
Round:  734 User: 29 Train Loss: -1.892
count 4
Round:  734 Train Loss: -1.883
centeral clustering:
Global  NMI = 0.4890 ARI = 0.3698 F = 0.4353 ACC = 0.5516
Round:  735 User: 21 Train Loss: -1.886
Round:  735 User: 28 Train Loss: -1.890
Round:  735 User: 29 Train Loss: -1.894
Round:  735 User: 38 Train Loss: -1.893
count 4
Round:  735 Train Loss: -1.891
centeral clustering:
Round:  736 User: 2 Train Loss: -1.896
Round:  736 User: 5 Train Loss: -1.889
Round:  736 User: 30 Train Loss: -1.890
Round:  736 User: 36 Train Loss: -1.879
count 4
Round:  736 Train Loss: -1.888
centeral clustering:
Round:  737 User: 0 Train Loss: -1.880
Round:  737 User: 1 Train Loss: -1.882
Round:  737 User: 6 Train Loss: -1.881
Round:  737 User: 27 Train Loss: -1.881
count 4
Round:  737 Train Loss: -1.881
centeral clustering:
Round:  738 User: 8 Train Loss: -1.887
Round:  738 User: 12 Train Loss: -1.890
Round:  738 User: 20 Train Loss: -1.886
Round:  738 User: 26 Train Loss: -1.876
count 4
Round:  738 Train Loss: -1.885
centeral clustering:
Round:  739 User: 2 Train Loss: -1.889
Round:  739 User: 7 Train Loss: -1.880
Round:  739 User: 14 Train Loss: -1.886
Round:  739 User: 24 Train Loss: -1.891
count 4
Round:  739 Train Loss: -1.887
centeral clustering:
Global  NMI = 0.4929 ARI = 0.3756 F = 0.4401 ACC = 0.5549
Global  NMI = 0.4978 ARI = 0.3791 F = 0.4437 ACC = 0.5509
Round:  740 User: 13 Train Loss: -1.878
Round:  740 User: 29 Train Loss: -1.887
Round:  740 User: 35 Train Loss: -1.888
Round:  740 User: 38 Train Loss: -1.877
count 4
Round:  740 Train Loss: -1.882
centeral clustering:
Round:  741 User: 6 Train Loss: -1.882
Round:  741 User: 14 Train Loss: -1.894
Round:  741 User: 18 Train Loss: -1.886
Round:  741 User: 27 Train Loss: -1.889
count 4
Round:  741 Train Loss: -1.888
centeral clustering:
Round:  742 User: 2 Train Loss: -1.882
Round:  742 User: 15 Train Loss: -1.875
Round:  742 User: 30 Train Loss: -1.884
Round:  742 User: 36 Train Loss: -1.871
count 4
Round:  742 Train Loss: -1.878
centeral clustering:
Round:  743 User: 11 Train Loss: -1.881
Round:  743 User: 27 Train Loss: -1.880
Round:  743 User: 28 Train Loss: -1.887
Round:  743 User: 32 Train Loss: -1.896
count 4
Round:  743 Train Loss: -1.886
centeral clustering:
Round:  744 User: 9 Train Loss: -1.890
Round:  744 User: 14 Train Loss: -1.879
Round:  744 User: 20 Train Loss: -1.879
Round:  744 User: 22 Train Loss: -1.886
count 4
Round:  744 Train Loss: -1.884
centeral clustering:
Global  NMI = 0.4827 ARI = 0.3627 F = 0.4281 ACC = 0.5440
Round:  745 User: 12 Train Loss: -1.895
Round:  745 User: 26 Train Loss: -1.884
Round:  745 User: 32 Train Loss: -1.888
Round:  745 User: 34 Train Loss: -1.877
count 4
Round:  745 Train Loss: -1.886
centeral clustering:
Round:  746 User: 19 Train Loss: -1.880
Round:  746 User: 20 Train Loss: -1.890
Round:  746 User: 26 Train Loss: -1.885
Round:  746 User: 39 Train Loss: -1.889
count 4
Round:  746 Train Loss: -1.886
centeral clustering:
Round:  747 User: 2 Train Loss: -1.890
Round:  747 User: 3 Train Loss: -1.885
Round:  747 User: 25 Train Loss: -1.892
Round:  747 User: 33 Train Loss: -1.894
count 4
Round:  747 Train Loss: -1.890
centeral clustering:
Round:  748 User: 6 Train Loss: -1.892
Round:  748 User: 12 Train Loss: -1.895
Round:  748 User: 14 Train Loss: -1.892
Round:  748 User: 36 Train Loss: -1.889
count 4
Round:  748 Train Loss: -1.892
centeral clustering:
Round:  749 User: 3 Train Loss: -1.886
Round:  749 User: 11 Train Loss: -1.893
Round:  749 User: 12 Train Loss: -1.893
Round:  749 User: 22 Train Loss: -1.897
count 4
Round:  749 Train Loss: -1.892
centeral clustering:
Global  NMI = 0.4780 ARI = 0.3587 F = 0.4249 ACC = 0.5491
Round:  750 User: 6 Train Loss: -1.881
Round:  750 User: 7 Train Loss: -1.892
Round:  750 User: 8 Train Loss: -1.879
Round:  750 User: 39 Train Loss: -1.890
count 4
Round:  750 Train Loss: -1.885
centeral clustering:
Round:  751 User: 8 Train Loss: -1.888
Round:  751 User: 18 Train Loss: -1.886
Round:  751 User: 25 Train Loss: -1.886
Round:  751 User: 37 Train Loss: -1.880
count 4
Round:  751 Train Loss: -1.885
centeral clustering:
Round:  752 User: 3 Train Loss: -1.892
Round:  752 User: 27 Train Loss: -1.886
Round:  752 User: 35 Train Loss: -1.888
Round:  752 User: 39 Train Loss: -1.889
count 4
Round:  752 Train Loss: -1.889
centeral clustering:
Round:  753 User: 3 Train Loss: -1.890
Round:  753 User: 13 Train Loss: -1.887
Round:  753 User: 34 Train Loss: -1.885
Round:  753 User: 36 Train Loss: -1.890
count 4
Round:  753 Train Loss: -1.888
centeral clustering:
Round:  754 User: 5 Train Loss: -1.882
Round:  754 User: 22 Train Loss: -1.894
Round:  754 User: 28 Train Loss: -1.891
Round:  754 User: 34 Train Loss: -1.883
count 4
Round:  754 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.4886 ARI = 0.3673 F = 0.4321 ACC = 0.5516
Round:  755 User: 5 Train Loss: -1.885
Round:  755 User: 16 Train Loss: -1.885
Round:  755 User: 21 Train Loss: -1.878
Round:  755 User: 29 Train Loss: -1.891
count 4
Round:  755 Train Loss: -1.885
centeral clustering:
Round:  756 User: 2 Train Loss: -1.896
Round:  756 User: 23 Train Loss: -1.892
Round:  756 User: 24 Train Loss: -1.889
Round:  756 User: 25 Train Loss: -1.886
count 4
Round:  756 Train Loss: -1.891
centeral clustering:
Round:  757 User: 20 Train Loss: -1.879
Round:  757 User: 22 Train Loss: -1.887
Round:  757 User: 23 Train Loss: -1.881
Round:  757 User: 24 Train Loss: -1.893
count 4
Round:  757 Train Loss: -1.885
centeral clustering:
Round:  758 User: 1 Train Loss: -1.875
Round:  758 User: 3 Train Loss: -1.883
Round:  758 User: 12 Train Loss: -1.897
Round:  758 User: 21 Train Loss: -1.881
count 4
Round:  758 Train Loss: -1.884
centeral clustering:
Round:  759 User: 6 Train Loss: -1.882
Round:  759 User: 11 Train Loss: -1.890
Round:  759 User: 29 Train Loss: -1.885
Round:  759 User: 30 Train Loss: -1.882
count 4
Round:  759 Train Loss: -1.885
centeral clustering:
Global  NMI = 0.5127 ARI = 0.3919 F = 0.4562 ACC = 0.5617
Global  NMI = 0.4952 ARI = 0.3724 F = 0.4393 ACC = 0.5377
Round:  760 User: 0 Train Loss: -1.875
Round:  760 User: 7 Train Loss: -1.885
Round:  760 User: 8 Train Loss: -1.888
Round:  760 User: 21 Train Loss: -1.891
count 4
Round:  760 Train Loss: -1.885
centeral clustering:
Round:  761 User: 3 Train Loss: -1.884
Round:  761 User: 6 Train Loss: -1.882
Round:  761 User: 7 Train Loss: -1.891
Round:  761 User: 10 Train Loss: -1.889
count 4
Round:  761 Train Loss: -1.886
centeral clustering:
Round:  762 User: 8 Train Loss: -1.885
Round:  762 User: 10 Train Loss: -1.895
Round:  762 User: 13 Train Loss: -1.881
Round:  762 User: 18 Train Loss: -1.881
count 4
Round:  762 Train Loss: -1.885
centeral clustering:
Round:  763 User: 10 Train Loss: -1.888
Round:  763 User: 14 Train Loss: -1.894
Round:  763 User: 31 Train Loss: -1.890
Round:  763 User: 34 Train Loss: -1.882
count 4
Round:  763 Train Loss: -1.888
centeral clustering:
Round:  764 User: 1 Train Loss: -1.884
Round:  764 User: 11 Train Loss: -1.892
Round:  764 User: 18 Train Loss: -1.880
Round:  764 User: 19 Train Loss: -1.887
count 4
Round:  764 Train Loss: -1.886
centeral clustering:
Global  NMI = 0.5125 ARI = 0.3956 F = 0.4592 ACC = 0.5595
Round:  765 User: 8 Train Loss: -1.882
Round:  765 User: 16 Train Loss: -1.881
Round:  765 User: 25 Train Loss: -1.882
Round:  765 User: 27 Train Loss: -1.885
count 4
Round:  765 Train Loss: -1.882
centeral clustering:
Round:  766 User: 5 Train Loss: -1.884
Round:  766 User: 17 Train Loss: -1.888
Round:  766 User: 23 Train Loss: -1.891
Round:  766 User: 28 Train Loss: -1.889
count 4
Round:  766 Train Loss: -1.888
centeral clustering:
Round:  767 User: 9 Train Loss: -1.892
Round:  767 User: 17 Train Loss: -1.898
Round:  767 User: 20 Train Loss: -1.886
Round:  767 User: 35 Train Loss: -1.894
count 4
Round:  767 Train Loss: -1.893
centeral clustering:
Round:  768 User: 11 Train Loss: -1.885
Round:  768 User: 25 Train Loss: -1.890
Round:  768 User: 30 Train Loss: -1.887
Round:  768 User: 33 Train Loss: -1.887
count 4
Round:  768 Train Loss: -1.887
centeral clustering:
Round:  769 User: 6 Train Loss: -1.889
Round:  769 User: 17 Train Loss: -1.896
Round:  769 User: 30 Train Loss: -1.891
Round:  769 User: 32 Train Loss: -1.876
count 4
Round:  769 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.4833 ARI = 0.3569 F = 0.4229 ACC = 0.5507
Round:  770 User: 18 Train Loss: -1.888
Round:  770 User: 26 Train Loss: -1.885
Round:  770 User: 32 Train Loss: -1.893
Round:  770 User: 36 Train Loss: -1.896
count 4
Round:  770 Train Loss: -1.890
centeral clustering:
Round:  771 User: 9 Train Loss: -1.892
Round:  771 User: 11 Train Loss: -1.893
Round:  771 User: 13 Train Loss: -1.887
Round:  771 User: 14 Train Loss: -1.884
count 4
Round:  771 Train Loss: -1.889
centeral clustering:
Round:  772 User: 0 Train Loss: -1.882
Round:  772 User: 7 Train Loss: -1.890
Round:  772 User: 8 Train Loss: -1.885
Round:  772 User: 20 Train Loss: -1.895
count 4
Round:  772 Train Loss: -1.888
centeral clustering:
Round:  773 User: 1 Train Loss: -1.883
Round:  773 User: 6 Train Loss: -1.882
Round:  773 User: 13 Train Loss: -1.888
Round:  773 User: 39 Train Loss: -1.892
count 4
Round:  773 Train Loss: -1.886
centeral clustering:
Round:  774 User: 7 Train Loss: -1.883
Round:  774 User: 10 Train Loss: -1.887
Round:  774 User: 17 Train Loss: -1.884
Round:  774 User: 35 Train Loss: -1.893
count 4
Round:  774 Train Loss: -1.887
centeral clustering:
Global  NMI = 0.5093 ARI = 0.3939 F = 0.4577 ACC = 0.5636
Round:  775 User: 26 Train Loss: -1.880
Round:  775 User: 28 Train Loss: -1.879
Round:  775 User: 36 Train Loss: -1.891
Round:  775 User: 39 Train Loss: -1.880
count 4
Round:  775 Train Loss: -1.882
centeral clustering:
Round:  776 User: 1 Train Loss: -1.879
Round:  776 User: 8 Train Loss: -1.883
Round:  776 User: 11 Train Loss: -1.890
Round:  776 User: 36 Train Loss: -1.888
count 4
Round:  776 Train Loss: -1.885
centeral clustering:
Round:  777 User: 2 Train Loss: -1.885
Round:  777 User: 19 Train Loss: -1.883
Round:  777 User: 25 Train Loss: -1.892
Round:  777 User: 28 Train Loss: -1.890
count 4
Round:  777 Train Loss: -1.888
centeral clustering:
Round:  778 User: 6 Train Loss: -1.891
Round:  778 User: 7 Train Loss: -1.892
Round:  778 User: 24 Train Loss: -1.893
Round:  778 User: 26 Train Loss: -1.882
count 4
Round:  778 Train Loss: -1.889
centeral clustering:
Round:  779 User: 12 Train Loss: -1.893
Round:  779 User: 13 Train Loss: -1.890
Round:  779 User: 15 Train Loss: -1.886
Round:  779 User: 25 Train Loss: -1.893
count 4
Round:  779 Train Loss: -1.890
centeral clustering:
Global  NMI = 0.5010 ARI = 0.3814 F = 0.4483 ACC = 0.5537
Global  NMI = 0.5025 ARI = 0.3807 F = 0.4484 ACC = 0.5516
Round:  780 User: 5 Train Loss: -1.885
Round:  780 User: 11 Train Loss: -1.890
Round:  780 User: 12 Train Loss: -1.897
Round:  780 User: 23 Train Loss: -1.879
count 4
Round:  780 Train Loss: -1.888
centeral clustering:
Round:  781 User: 5 Train Loss: -1.893
Round:  781 User: 20 Train Loss: -1.895
Round:  781 User: 23 Train Loss: -1.888
Round:  781 User: 36 Train Loss: -1.888
count 4
Round:  781 Train Loss: -1.891
centeral clustering:
Round:  782 User: 9 Train Loss: -1.892
Round:  782 User: 14 Train Loss: -1.888
Round:  782 User: 32 Train Loss: -1.889
Round:  782 User: 34 Train Loss: -1.886
count 4
Round:  782 Train Loss: -1.889
centeral clustering:
Round:  783 User: 8 Train Loss: -1.892
Round:  783 User: 14 Train Loss: -1.896
Round:  783 User: 24 Train Loss: -1.899
Round:  783 User: 35 Train Loss: -1.887
count 4
Round:  783 Train Loss: -1.894
centeral clustering:
Round:  784 User: 7 Train Loss: -1.893
Round:  784 User: 16 Train Loss: -1.889
Round:  784 User: 25 Train Loss: -1.898
Round:  784 User: 29 Train Loss: -1.892
count 4
Round:  784 Train Loss: -1.893
centeral clustering:
Global  NMI = 0.4989 ARI = 0.3719 F = 0.4367 ACC = 0.5583
Round:  785 User: 6 Train Loss: -1.893
Round:  785 User: 18 Train Loss: -1.891
Round:  785 User: 32 Train Loss: -1.893
Round:  785 User: 34 Train Loss: -1.884
count 4
Round:  785 Train Loss: -1.890
centeral clustering:
Round:  786 User: 20 Train Loss: -1.891
Round:  786 User: 21 Train Loss: -1.888
Round:  786 User: 25 Train Loss: -1.900
Round:  786 User: 35 Train Loss: -1.885
count 4
Round:  786 Train Loss: -1.891
centeral clustering:
Round:  787 User: 4 Train Loss: -1.881
Round:  787 User: 11 Train Loss: -1.884
Round:  787 User: 17 Train Loss: -1.889
Round:  787 User: 36 Train Loss: -1.888
count 4
Round:  787 Train Loss: -1.886
centeral clustering:
Round:  788 User: 17 Train Loss: -1.900
Round:  788 User: 21 Train Loss: -1.893
Round:  788 User: 33 Train Loss: -1.889
Round:  788 User: 34 Train Loss: -1.885
count 4
Round:  788 Train Loss: -1.892
centeral clustering:
Round:  789 User: 7 Train Loss: -1.894
Round:  789 User: 12 Train Loss: -1.898
Round:  789 User: 28 Train Loss: -1.897
Round:  789 User: 35 Train Loss: -1.892
count 4
Round:  789 Train Loss: -1.895
centeral clustering:
Global  NMI = 0.5092 ARI = 0.3954 F = 0.4592 ACC = 0.5701
Round:  790 User: 14 Train Loss: -1.890
Round:  790 User: 20 Train Loss: -1.888
Round:  790 User: 27 Train Loss: -1.894
Round:  790 User: 30 Train Loss: -1.894
count 4
Round:  790 Train Loss: -1.892
centeral clustering:
Round:  791 User: 4 Train Loss: -1.894
Round:  791 User: 20 Train Loss: -1.890
Round:  791 User: 36 Train Loss: -1.891
Round:  791 User: 37 Train Loss: -1.887
count 4
Round:  791 Train Loss: -1.891
centeral clustering:
Round:  792 User: 0 Train Loss: -1.887
Round:  792 User: 12 Train Loss: -1.903
Round:  792 User: 38 Train Loss: -1.893
Round:  792 User: 39 Train Loss: -1.889
count 4
Round:  792 Train Loss: -1.893
centeral clustering:
Round:  793 User: 3 Train Loss: -1.880
Round:  793 User: 8 Train Loss: -1.891
Round:  793 User: 27 Train Loss: -1.893
Round:  793 User: 36 Train Loss: -1.891
count 4
Round:  793 Train Loss: -1.889
centeral clustering:
Round:  794 User: 1 Train Loss: -1.895
Round:  794 User: 3 Train Loss: -1.903
Round:  794 User: 26 Train Loss: -1.892
Round:  794 User: 35 Train Loss: -1.894
count 4
Round:  794 Train Loss: -1.896
centeral clustering:
Global  NMI = 0.5152 ARI = 0.3952 F = 0.4599 ACC = 0.5622
Round:  795 User: 0 Train Loss: -1.887
Round:  795 User: 16 Train Loss: -1.889
Round:  795 User: 29 Train Loss: -1.897
Round:  795 User: 30 Train Loss: -1.904
count 4
Round:  795 Train Loss: -1.894
centeral clustering:
Round:  796 User: 14 Train Loss: -1.896
Round:  796 User: 20 Train Loss: -1.904
Round:  796 User: 27 Train Loss: -1.895
Round:  796 User: 39 Train Loss: -1.899
count 4
Round:  796 Train Loss: -1.899
centeral clustering:
Round:  797 User: 1 Train Loss: -1.896
Round:  797 User: 18 Train Loss: -1.901
Round:  797 User: 29 Train Loss: -1.908
Round:  797 User: 36 Train Loss: -1.881
count 4
Round:  797 Train Loss: -1.896
centeral clustering:
Round:  798 User: 4 Train Loss: -1.883
Round:  798 User: 18 Train Loss: -1.892
Round:  798 User: 30 Train Loss: -1.894
Round:  798 User: 38 Train Loss: -1.896
count 4
Round:  798 Train Loss: -1.891
centeral clustering:
Round:  799 User: 1 Train Loss: -1.891
Round:  799 User: 12 Train Loss: -1.897
Round:  799 User: 21 Train Loss: -1.887
Round:  799 User: 28 Train Loss: -1.899
count 4
Round:  799 Train Loss: -1.893
centeral clustering:
Global  NMI = 0.5141 ARI = 0.3906 F = 0.4556 ACC = 0.5695
Global  NMI = 0.5123 ARI = 0.3876 F = 0.4531 ACC = 0.5677
Round:  800 User: 0 Train Loss: -1.894
Round:  800 User: 3 Train Loss: -1.900
Round:  800 User: 14 Train Loss: -1.898
Round:  800 User: 30 Train Loss: -1.897
count 4
Round:  800 Train Loss: -1.897
centeral clustering:
Round:  801 User: 4 Train Loss: -1.888
Round:  801 User: 23 Train Loss: -1.892
Round:  801 User: 27 Train Loss: -1.898
Round:  801 User: 33 Train Loss: -1.889
count 4
Round:  801 Train Loss: -1.892
centeral clustering:
Round:  802 User: 3 Train Loss: -1.897
Round:  802 User: 22 Train Loss: -1.897
Round:  802 User: 26 Train Loss: -1.894
Round:  802 User: 27 Train Loss: -1.898
count 4
Round:  802 Train Loss: -1.896
centeral clustering:
Round:  803 User: 13 Train Loss: -1.895
Round:  803 User: 20 Train Loss: -1.901
Round:  803 User: 28 Train Loss: -1.901
Round:  803 User: 30 Train Loss: -1.900
count 4
Round:  803 Train Loss: -1.899
centeral clustering:
Round:  804 User: 2 Train Loss: -1.892
Round:  804 User: 12 Train Loss: -1.904
Round:  804 User: 22 Train Loss: -1.891
Round:  804 User: 37 Train Loss: -1.893
count 4
Round:  804 Train Loss: -1.895
centeral clustering:
Global  NMI = 0.5074 ARI = 0.3839 F = 0.4494 ACC = 0.5630
Round:  805 User: 13 Train Loss: -1.889
Round:  805 User: 14 Train Loss: -1.892
Round:  805 User: 22 Train Loss: -1.891
Round:  805 User: 34 Train Loss: -1.891
count 4
Round:  805 Train Loss: -1.891
centeral clustering:
Round:  806 User: 12 Train Loss: -1.896
Round:  806 User: 25 Train Loss: -1.900
Round:  806 User: 28 Train Loss: -1.897
Round:  806 User: 30 Train Loss: -1.906
count 4
Round:  806 Train Loss: -1.900
centeral clustering:
Round:  807 User: 5 Train Loss: -1.895
Round:  807 User: 10 Train Loss: -1.897
Round:  807 User: 14 Train Loss: -1.901
Round:  807 User: 33 Train Loss: -1.902
count 4
Round:  807 Train Loss: -1.899
centeral clustering:
Round:  808 User: 4 Train Loss: -1.890
Round:  808 User: 8 Train Loss: -1.893
Round:  808 User: 21 Train Loss: -1.887
Round:  808 User: 22 Train Loss: -1.895
count 4
Round:  808 Train Loss: -1.891
centeral clustering:
Round:  809 User: 2 Train Loss: -1.904
Round:  809 User: 21 Train Loss: -1.899
Round:  809 User: 26 Train Loss: -1.894
Round:  809 User: 27 Train Loss: -1.900
count 4
Round:  809 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.4924 ARI = 0.3620 F = 0.4278 ACC = 0.5647
Round:  810 User: 9 Train Loss: -1.902
Round:  810 User: 21 Train Loss: -1.898
Round:  810 User: 29 Train Loss: -1.888
Round:  810 User: 37 Train Loss: -1.899
count 4
Round:  810 Train Loss: -1.897
centeral clustering:
Round:  811 User: 2 Train Loss: -1.891
Round:  811 User: 14 Train Loss: -1.906
Round:  811 User: 18 Train Loss: -1.887
Round:  811 User: 19 Train Loss: -1.897
count 4
Round:  811 Train Loss: -1.895
centeral clustering:
Round:  812 User: 21 Train Loss: -1.894
Round:  812 User: 22 Train Loss: -1.899
Round:  812 User: 33 Train Loss: -1.894
Round:  812 User: 35 Train Loss: -1.891
count 4
Round:  812 Train Loss: -1.895
centeral clustering:
Round:  813 User: 9 Train Loss: -1.899
Round:  813 User: 19 Train Loss: -1.891
Round:  813 User: 23 Train Loss: -1.884
Round:  813 User: 31 Train Loss: -1.887
count 4
Round:  813 Train Loss: -1.890
centeral clustering:
Round:  814 User: 2 Train Loss: -1.894
Round:  814 User: 10 Train Loss: -1.900
Round:  814 User: 32 Train Loss: -1.902
Round:  814 User: 33 Train Loss: -1.895
count 4
Round:  814 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5205 ARI = 0.4026 F = 0.4657 ACC = 0.5701
Round:  815 User: 6 Train Loss: -1.884
Round:  815 User: 21 Train Loss: -1.904
Round:  815 User: 24 Train Loss: -1.901
Round:  815 User: 33 Train Loss: -1.902
count 4
Round:  815 Train Loss: -1.898
centeral clustering:
Round:  816 User: 0 Train Loss: -1.893
Round:  816 User: 7 Train Loss: -1.893
Round:  816 User: 31 Train Loss: -1.893
Round:  816 User: 39 Train Loss: -1.902
count 4
Round:  816 Train Loss: -1.895
centeral clustering:
Round:  817 User: 1 Train Loss: -1.891
Round:  817 User: 14 Train Loss: -1.896
Round:  817 User: 27 Train Loss: -1.897
Round:  817 User: 28 Train Loss: -1.894
count 4
Round:  817 Train Loss: -1.895
centeral clustering:
Round:  818 User: 10 Train Loss: -1.899
Round:  818 User: 11 Train Loss: -1.902
Round:  818 User: 22 Train Loss: -1.893
Round:  818 User: 26 Train Loss: -1.896
count 4
Round:  818 Train Loss: -1.898
centeral clustering:
Round:  819 User: 7 Train Loss: -1.905
Round:  819 User: 12 Train Loss: -1.897
Round:  819 User: 24 Train Loss: -1.894
Round:  819 User: 32 Train Loss: -1.897
count 4
Round:  819 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.4833 ARI = 0.3553 F = 0.4221 ACC = 0.5274
Global  NMI = 0.4856 ARI = 0.3587 F = 0.4256 ACC = 0.5293
Round:  820 User: 7 Train Loss: -1.894
Round:  820 User: 9 Train Loss: -1.898
Round:  820 User: 14 Train Loss: -1.900
Round:  820 User: 25 Train Loss: -1.897
count 4
Round:  820 Train Loss: -1.897
centeral clustering:
Round:  821 User: 1 Train Loss: -1.887
Round:  821 User: 11 Train Loss: -1.897
Round:  821 User: 16 Train Loss: -1.893
Round:  821 User: 37 Train Loss: -1.879
count 4
Round:  821 Train Loss: -1.889
centeral clustering:
Round:  822 User: 6 Train Loss: -1.896
Round:  822 User: 17 Train Loss: -1.896
Round:  822 User: 24 Train Loss: -1.900
Round:  822 User: 38 Train Loss: -1.896
count 4
Round:  822 Train Loss: -1.897
centeral clustering:
Round:  823 User: 6 Train Loss: -1.890
Round:  823 User: 27 Train Loss: -1.888
Round:  823 User: 32 Train Loss: -1.892
Round:  823 User: 34 Train Loss: -1.895
count 4
Round:  823 Train Loss: -1.891
centeral clustering:
Round:  824 User: 4 Train Loss: -1.890
Round:  824 User: 18 Train Loss: -1.883
Round:  824 User: 31 Train Loss: -1.884
Round:  824 User: 37 Train Loss: -1.895
count 4
Round:  824 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.4881 ARI = 0.3621 F = 0.4277 ACC = 0.5545
Round:  825 User: 11 Train Loss: -1.898
Round:  825 User: 21 Train Loss: -1.896
Round:  825 User: 25 Train Loss: -1.892
Round:  825 User: 27 Train Loss: -1.898
count 4
Round:  825 Train Loss: -1.896
centeral clustering:
Round:  826 User: 2 Train Loss: -1.901
Round:  826 User: 19 Train Loss: -1.898
Round:  826 User: 32 Train Loss: -1.898
Round:  826 User: 36 Train Loss: -1.892
count 4
Round:  826 Train Loss: -1.897
centeral clustering:
Round:  827 User: 0 Train Loss: -1.895
Round:  827 User: 3 Train Loss: -1.897
Round:  827 User: 8 Train Loss: -1.890
Round:  827 User: 15 Train Loss: -1.892
count 4
Round:  827 Train Loss: -1.894
centeral clustering:
Round:  828 User: 12 Train Loss: -1.907
Round:  828 User: 28 Train Loss: -1.890
Round:  828 User: 34 Train Loss: -1.884
Round:  828 User: 39 Train Loss: -1.895
count 4
Round:  828 Train Loss: -1.894
centeral clustering:
Round:  829 User: 12 Train Loss: -1.898
Round:  829 User: 19 Train Loss: -1.890
Round:  829 User: 22 Train Loss: -1.888
Round:  829 User: 31 Train Loss: -1.884
count 4
Round:  829 Train Loss: -1.890
centeral clustering:
Global  NMI = 0.4876 ARI = 0.3530 F = 0.4208 ACC = 0.5450
Round:  830 User: 5 Train Loss: -1.890
Round:  830 User: 12 Train Loss: -1.901
Round:  830 User: 33 Train Loss: -1.895
Round:  830 User: 39 Train Loss: -1.896
count 4
Round:  830 Train Loss: -1.896
centeral clustering:
Round:  831 User: 16 Train Loss: -1.892
Round:  831 User: 19 Train Loss: -1.894
Round:  831 User: 29 Train Loss: -1.900
Round:  831 User: 33 Train Loss: -1.897
count 4
Round:  831 Train Loss: -1.896
centeral clustering:
Round:  832 User: 10 Train Loss: -1.894
Round:  832 User: 24 Train Loss: -1.898
Round:  832 User: 34 Train Loss: -1.890
Round:  832 User: 36 Train Loss: -1.886
count 4
Round:  832 Train Loss: -1.892
centeral clustering:
Round:  833 User: 3 Train Loss: -1.891
Round:  833 User: 18 Train Loss: -1.895
Round:  833 User: 28 Train Loss: -1.888
Round:  833 User: 35 Train Loss: -1.896
count 4
Round:  833 Train Loss: -1.893
centeral clustering:
Round:  834 User: 7 Train Loss: -1.896
Round:  834 User: 18 Train Loss: -1.890
Round:  834 User: 20 Train Loss: -1.892
Round:  834 User: 26 Train Loss: -1.892
count 4
Round:  834 Train Loss: -1.892
centeral clustering:
Global  NMI = 0.5142 ARI = 0.3898 F = 0.4541 ACC = 0.5687
Round:  835 User: 17 Train Loss: -1.898
Round:  835 User: 21 Train Loss: -1.898
Round:  835 User: 29 Train Loss: -1.894
Round:  835 User: 36 Train Loss: -1.901
count 4
Round:  835 Train Loss: -1.898
centeral clustering:
Round:  836 User: 9 Train Loss: -1.898
Round:  836 User: 12 Train Loss: -1.903
Round:  836 User: 23 Train Loss: -1.889
Round:  836 User: 36 Train Loss: -1.890
count 4
Round:  836 Train Loss: -1.895
centeral clustering:
Round:  837 User: 14 Train Loss: -1.898
Round:  837 User: 28 Train Loss: -1.891
Round:  837 User: 30 Train Loss: -1.890
Round:  837 User: 35 Train Loss: -1.892
count 4
Round:  837 Train Loss: -1.893
centeral clustering:
Round:  838 User: 11 Train Loss: -1.897
Round:  838 User: 16 Train Loss: -1.890
Round:  838 User: 25 Train Loss: -1.897
Round:  838 User: 32 Train Loss: -1.904
count 4
Round:  838 Train Loss: -1.897
centeral clustering:
Round:  839 User: 12 Train Loss: -1.895
Round:  839 User: 16 Train Loss: -1.890
Round:  839 User: 25 Train Loss: -1.904
Round:  839 User: 32 Train Loss: -1.899
count 4
Round:  839 Train Loss: -1.897
centeral clustering:
Global  NMI = 0.5129 ARI = 0.3919 F = 0.4562 ACC = 0.5733
Global  NMI = 0.5135 ARI = 0.3931 F = 0.4573 ACC = 0.5737
Round:  840 User: 3 Train Loss: -1.900
Round:  840 User: 12 Train Loss: -1.900
Round:  840 User: 15 Train Loss: -1.890
Round:  840 User: 24 Train Loss: -1.904
count 4
Round:  840 Train Loss: -1.899
centeral clustering:
Round:  841 User: 8 Train Loss: -1.890
Round:  841 User: 13 Train Loss: -1.889
Round:  841 User: 33 Train Loss: -1.894
Round:  841 User: 35 Train Loss: -1.897
count 4
Round:  841 Train Loss: -1.893
centeral clustering:
Round:  842 User: 10 Train Loss: -1.897
Round:  842 User: 16 Train Loss: -1.894
Round:  842 User: 36 Train Loss: -1.899
Round:  842 User: 39 Train Loss: -1.902
count 4
Round:  842 Train Loss: -1.898
centeral clustering:
Round:  843 User: 2 Train Loss: -1.893
Round:  843 User: 8 Train Loss: -1.894
Round:  843 User: 19 Train Loss: -1.894
Round:  843 User: 29 Train Loss: -1.902
count 4
Round:  843 Train Loss: -1.896
centeral clustering:
Round:  844 User: 0 Train Loss: -1.887
Round:  844 User: 5 Train Loss: -1.899
Round:  844 User: 16 Train Loss: -1.892
Round:  844 User: 18 Train Loss: -1.896
count 4
Round:  844 Train Loss: -1.894
centeral clustering:
Global  NMI = 0.5173 ARI = 0.3997 F = 0.4628 ACC = 0.5786
Round:  845 User: 4 Train Loss: -1.896
Round:  845 User: 14 Train Loss: -1.899
Round:  845 User: 15 Train Loss: -1.896
Round:  845 User: 31 Train Loss: -1.891
count 4
Round:  845 Train Loss: -1.896
centeral clustering:
Round:  846 User: 11 Train Loss: -1.894
Round:  846 User: 18 Train Loss: -1.888
Round:  846 User: 24 Train Loss: -1.892
Round:  846 User: 30 Train Loss: -1.898
count 4
Round:  846 Train Loss: -1.893
centeral clustering:
Round:  847 User: 27 Train Loss: -1.897
Round:  847 User: 33 Train Loss: -1.886
Round:  847 User: 35 Train Loss: -1.897
Round:  847 User: 37 Train Loss: -1.900
count 4
Round:  847 Train Loss: -1.895
centeral clustering:
Round:  848 User: 8 Train Loss: -1.895
Round:  848 User: 27 Train Loss: -1.902
Round:  848 User: 29 Train Loss: -1.897
Round:  848 User: 32 Train Loss: -1.905
count 4
Round:  848 Train Loss: -1.900
centeral clustering:
Round:  849 User: 12 Train Loss: -1.899
Round:  849 User: 19 Train Loss: -1.885
Round:  849 User: 20 Train Loss: -1.902
Round:  849 User: 31 Train Loss: -1.896
count 4
Round:  849 Train Loss: -1.896
centeral clustering:
Global  NMI = 0.5053 ARI = 0.3765 F = 0.4430 ACC = 0.5586
Round:  850 User: 11 Train Loss: -1.898
Round:  850 User: 13 Train Loss: -1.893
Round:  850 User: 37 Train Loss: -1.894
Round:  850 User: 39 Train Loss: -1.903
count 4
Round:  850 Train Loss: -1.897
centeral clustering:
Round:  851 User: 20 Train Loss: -1.891
Round:  851 User: 22 Train Loss: -1.894
Round:  851 User: 30 Train Loss: -1.896
Round:  851 User: 37 Train Loss: -1.895
count 4
Round:  851 Train Loss: -1.894
centeral clustering:
Round:  852 User: 17 Train Loss: -1.900
Round:  852 User: 21 Train Loss: -1.897
Round:  852 User: 26 Train Loss: -1.888
Round:  852 User: 31 Train Loss: -1.888
count 4
Round:  852 Train Loss: -1.893
centeral clustering:
Round:  853 User: 20 Train Loss: -1.887
Round:  853 User: 25 Train Loss: -1.901
Round:  853 User: 26 Train Loss: -1.900
Round:  853 User: 35 Train Loss: -1.899
count 4
Round:  853 Train Loss: -1.897
centeral clustering:
Round:  854 User: 17 Train Loss: -1.905
Round:  854 User: 22 Train Loss: -1.893
Round:  854 User: 25 Train Loss: -1.895
Round:  854 User: 31 Train Loss: -1.901
count 4
Round:  854 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5190 ARI = 0.3975 F = 0.4613 ACC = 0.5729
Round:  855 User: 5 Train Loss: -1.896
Round:  855 User: 10 Train Loss: -1.895
Round:  855 User: 34 Train Loss: -1.898
Round:  855 User: 35 Train Loss: -1.897
count 4
Round:  855 Train Loss: -1.896
centeral clustering:
Round:  856 User: 4 Train Loss: -1.893
Round:  856 User: 13 Train Loss: -1.892
Round:  856 User: 28 Train Loss: -1.886
Round:  856 User: 32 Train Loss: -1.901
count 4
Round:  856 Train Loss: -1.893
centeral clustering:
Round:  857 User: 7 Train Loss: -1.888
Round:  857 User: 23 Train Loss: -1.887
Round:  857 User: 31 Train Loss: -1.899
Round:  857 User: 34 Train Loss: -1.890
count 4
Round:  857 Train Loss: -1.891
centeral clustering:
Round:  858 User: 3 Train Loss: -1.888
Round:  858 User: 7 Train Loss: -1.905
Round:  858 User: 24 Train Loss: -1.888
Round:  858 User: 39 Train Loss: -1.891
count 4
Round:  858 Train Loss: -1.893
centeral clustering:
Round:  859 User: 0 Train Loss: -1.893
Round:  859 User: 7 Train Loss: -1.896
Round:  859 User: 12 Train Loss: -1.898
Round:  859 User: 36 Train Loss: -1.895
count 4
Round:  859 Train Loss: -1.896
centeral clustering:
Global  NMI = 0.5232 ARI = 0.3979 F = 0.4618 ACC = 0.5800
Global  NMI = 0.5225 ARI = 0.3984 F = 0.4623 ACC = 0.5763
Round:  860 User: 11 Train Loss: -1.895
Round:  860 User: 31 Train Loss: -1.894
Round:  860 User: 33 Train Loss: -1.887
Round:  860 User: 37 Train Loss: -1.897
count 4
Round:  860 Train Loss: -1.893
centeral clustering:
Round:  861 User: 5 Train Loss: -1.890
Round:  861 User: 12 Train Loss: -1.907
Round:  861 User: 13 Train Loss: -1.881
Round:  861 User: 28 Train Loss: -1.893
count 4
Round:  861 Train Loss: -1.893
centeral clustering:
Round:  862 User: 5 Train Loss: -1.896
Round:  862 User: 14 Train Loss: -1.902
Round:  862 User: 15 Train Loss: -1.885
Round:  862 User: 32 Train Loss: -1.891
count 4
Round:  862 Train Loss: -1.893
centeral clustering:
Round:  863 User: 14 Train Loss: -1.896
Round:  863 User: 15 Train Loss: -1.894
Round:  863 User: 19 Train Loss: -1.892
Round:  863 User: 22 Train Loss: -1.892
count 4
Round:  863 Train Loss: -1.893
centeral clustering:
Round:  864 User: 9 Train Loss: -1.892
Round:  864 User: 21 Train Loss: -1.883
Round:  864 User: 32 Train Loss: -1.903
Round:  864 User: 37 Train Loss: -1.891
count 4
Round:  864 Train Loss: -1.892
centeral clustering:
Global  NMI = 0.5200 ARI = 0.3984 F = 0.4620 ACC = 0.5754
Round:  865 User: 9 Train Loss: -1.895
Round:  865 User: 22 Train Loss: -1.897
Round:  865 User: 24 Train Loss: -1.879
Round:  865 User: 29 Train Loss: -1.895
count 4
Round:  865 Train Loss: -1.892
centeral clustering:
Round:  866 User: 1 Train Loss: -1.885
Round:  866 User: 10 Train Loss: -1.892
Round:  866 User: 24 Train Loss: -1.889
Round:  866 User: 36 Train Loss: -1.894
count 4
Round:  866 Train Loss: -1.890
centeral clustering:
Round:  867 User: 1 Train Loss: -1.888
Round:  867 User: 8 Train Loss: -1.892
Round:  867 User: 35 Train Loss: -1.888
Round:  867 User: 38 Train Loss: -1.892
count 4
Round:  867 Train Loss: -1.890
centeral clustering:
Round:  868 User: 7 Train Loss: -1.893
Round:  868 User: 12 Train Loss: -1.896
Round:  868 User: 20 Train Loss: -1.887
Round:  868 User: 28 Train Loss: -1.899
count 4
Round:  868 Train Loss: -1.894
centeral clustering:
Round:  869 User: 0 Train Loss: -1.890
Round:  869 User: 3 Train Loss: -1.891
Round:  869 User: 20 Train Loss: -1.895
Round:  869 User: 38 Train Loss: -1.887
count 4
Round:  869 Train Loss: -1.891
centeral clustering:
Global  NMI = 0.5198 ARI = 0.3950 F = 0.4593 ACC = 0.5783
Round:  870 User: 3 Train Loss: -1.887
Round:  870 User: 14 Train Loss: -1.898
Round:  870 User: 18 Train Loss: -1.888
Round:  870 User: 25 Train Loss: -1.890
count 4
Round:  870 Train Loss: -1.891
centeral clustering:
Round:  871 User: 1 Train Loss: -1.894
Round:  871 User: 13 Train Loss: -1.887
Round:  871 User: 16 Train Loss: -1.885
Round:  871 User: 37 Train Loss: -1.895
count 4
Round:  871 Train Loss: -1.890
centeral clustering:
Round:  872 User: 5 Train Loss: -1.896
Round:  872 User: 10 Train Loss: -1.893
Round:  872 User: 23 Train Loss: -1.885
Round:  872 User: 35 Train Loss: -1.888
count 4
Round:  872 Train Loss: -1.890
centeral clustering:
Round:  873 User: 2 Train Loss: -1.890
Round:  873 User: 16 Train Loss: -1.896
Round:  873 User: 23 Train Loss: -1.894
Round:  873 User: 30 Train Loss: -1.888
count 4
Round:  873 Train Loss: -1.892
centeral clustering:
Round:  874 User: 0 Train Loss: -1.892
Round:  874 User: 4 Train Loss: -1.879
Round:  874 User: 22 Train Loss: -1.889
Round:  874 User: 35 Train Loss: -1.892
count 4
Round:  874 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.5274 ARI = 0.4067 F = 0.4693 ACC = 0.5780
Round:  875 User: 2 Train Loss: -1.900
Round:  875 User: 11 Train Loss: -1.893
Round:  875 User: 12 Train Loss: -1.901
Round:  875 User: 31 Train Loss: -1.895
count 4
Round:  875 Train Loss: -1.897
centeral clustering:
Round:  876 User: 4 Train Loss: -1.890
Round:  876 User: 25 Train Loss: -1.897
Round:  876 User: 37 Train Loss: -1.891
Round:  876 User: 38 Train Loss: -1.885
count 4
Round:  876 Train Loss: -1.891
centeral clustering:
Round:  877 User: 2 Train Loss: -1.891
Round:  877 User: 8 Train Loss: -1.892
Round:  877 User: 36 Train Loss: -1.892
Round:  877 User: 37 Train Loss: -1.890
count 4
Round:  877 Train Loss: -1.891
centeral clustering:
Round:  878 User: 17 Train Loss: -1.897
Round:  878 User: 23 Train Loss: -1.881
Round:  878 User: 31 Train Loss: -1.882
Round:  878 User: 37 Train Loss: -1.901
count 4
Round:  878 Train Loss: -1.890
centeral clustering:
Round:  879 User: 9 Train Loss: -1.891
Round:  879 User: 26 Train Loss: -1.892
Round:  879 User: 35 Train Loss: -1.892
Round:  879 User: 38 Train Loss: -1.895
count 4
Round:  879 Train Loss: -1.893
centeral clustering:
Global  NMI = 0.5231 ARI = 0.4053 F = 0.4681 ACC = 0.5742
Global  NMI = 0.5212 ARI = 0.4037 F = 0.4669 ACC = 0.5712
Round:  880 User: 1 Train Loss: -1.890
Round:  880 User: 2 Train Loss: -1.898
Round:  880 User: 5 Train Loss: -1.892
Round:  880 User: 36 Train Loss: -1.893
count 4
Round:  880 Train Loss: -1.893
centeral clustering:
Round:  881 User: 7 Train Loss: -1.898
Round:  881 User: 16 Train Loss: -1.889
Round:  881 User: 23 Train Loss: -1.891
Round:  881 User: 34 Train Loss: -1.895
count 4
Round:  881 Train Loss: -1.893
centeral clustering:
Round:  882 User: 15 Train Loss: -1.886
Round:  882 User: 34 Train Loss: -1.893
Round:  882 User: 38 Train Loss: -1.890
Round:  882 User: 39 Train Loss: -1.887
count 4
Round:  882 Train Loss: -1.889
centeral clustering:
Round:  883 User: 5 Train Loss: -1.888
Round:  883 User: 6 Train Loss: -1.885
Round:  883 User: 20 Train Loss: -1.900
Round:  883 User: 27 Train Loss: -1.896
count 4
Round:  883 Train Loss: -1.892
centeral clustering:
Round:  884 User: 13 Train Loss: -1.887
Round:  884 User: 19 Train Loss: -1.891
Round:  884 User: 22 Train Loss: -1.885
Round:  884 User: 26 Train Loss: -1.881
count 4
Round:  884 Train Loss: -1.886
centeral clustering:
Global  NMI = 0.5176 ARI = 0.3992 F = 0.4626 ACC = 0.5704
Round:  885 User: 8 Train Loss: -1.898
Round:  885 User: 16 Train Loss: -1.886
Round:  885 User: 26 Train Loss: -1.896
Round:  885 User: 37 Train Loss: -1.893
count 4
Round:  885 Train Loss: -1.893
centeral clustering:
Round:  886 User: 24 Train Loss: -1.883
Round:  886 User: 29 Train Loss: -1.876
Round:  886 User: 33 Train Loss: -1.885
Round:  886 User: 36 Train Loss: -1.887
count 4
Round:  886 Train Loss: -1.883
centeral clustering:
Round:  887 User: 8 Train Loss: -1.886
Round:  887 User: 22 Train Loss: -1.895
Round:  887 User: 23 Train Loss: -1.891
Round:  887 User: 25 Train Loss: -1.895
count 4
Round:  887 Train Loss: -1.892
centeral clustering:
Round:  888 User: 6 Train Loss: -1.882
Round:  888 User: 15 Train Loss: -1.894
Round:  888 User: 17 Train Loss: -1.890
Round:  888 User: 26 Train Loss: -1.894
count 4
Round:  888 Train Loss: -1.890
centeral clustering:
Round:  889 User: 1 Train Loss: -1.881
Round:  889 User: 5 Train Loss: -1.891
Round:  889 User: 11 Train Loss: -1.885
Round:  889 User: 35 Train Loss: -1.881
count 4
Round:  889 Train Loss: -1.884
centeral clustering:
Global  NMI = 0.5262 ARI = 0.4092 F = 0.4714 ACC = 0.5790
Round:  890 User: 11 Train Loss: -1.898
Round:  890 User: 22 Train Loss: -1.891
Round:  890 User: 31 Train Loss: -1.882
Round:  890 User: 34 Train Loss: -1.895
count 4
Round:  890 Train Loss: -1.891
centeral clustering:
Round:  891 User: 1 Train Loss: -1.893
Round:  891 User: 2 Train Loss: -1.895
Round:  891 User: 19 Train Loss: -1.889
Round:  891 User: 37 Train Loss: -1.887
count 4
Round:  891 Train Loss: -1.891
centeral clustering:
Round:  892 User: 9 Train Loss: -1.891
Round:  892 User: 15 Train Loss: -1.892
Round:  892 User: 24 Train Loss: -1.893
Round:  892 User: 34 Train Loss: -1.880
count 4
Round:  892 Train Loss: -1.889
centeral clustering:
Round:  893 User: 1 Train Loss: -1.889
Round:  893 User: 2 Train Loss: -1.892
Round:  893 User: 10 Train Loss: -1.895
Round:  893 User: 24 Train Loss: -1.892
count 4
Round:  893 Train Loss: -1.892
centeral clustering:
Round:  894 User: 12 Train Loss: -1.890
Round:  894 User: 19 Train Loss: -1.881
Round:  894 User: 23 Train Loss: -1.889
Round:  894 User: 26 Train Loss: -1.887
count 4
Round:  894 Train Loss: -1.887
centeral clustering:
Global  NMI = 0.5201 ARI = 0.4002 F = 0.4637 ACC = 0.5792
Round:  895 User: 21 Train Loss: -1.879
Round:  895 User: 33 Train Loss: -1.891
Round:  895 User: 35 Train Loss: -1.898
Round:  895 User: 37 Train Loss: -1.888
count 4
Round:  895 Train Loss: -1.889
centeral clustering:
Round:  896 User: 7 Train Loss: -1.896
Round:  896 User: 12 Train Loss: -1.899
Round:  896 User: 20 Train Loss: -1.898
Round:  896 User: 24 Train Loss: -1.901
count 4
Round:  896 Train Loss: -1.898
centeral clustering:
Round:  897 User: 0 Train Loss: -1.897
Round:  897 User: 6 Train Loss: -1.891
Round:  897 User: 13 Train Loss: -1.887
Round:  897 User: 17 Train Loss: -1.896
count 4
Round:  897 Train Loss: -1.893
centeral clustering:
Round:  898 User: 1 Train Loss: -1.888
Round:  898 User: 12 Train Loss: -1.900
Round:  898 User: 28 Train Loss: -1.898
Round:  898 User: 32 Train Loss: -1.891
count 4
Round:  898 Train Loss: -1.894
centeral clustering:
Round:  899 User: 7 Train Loss: -1.896
Round:  899 User: 9 Train Loss: -1.895
Round:  899 User: 15 Train Loss: -1.893
Round:  899 User: 19 Train Loss: -1.887
count 4
Round:  899 Train Loss: -1.893
centeral clustering:
Global  NMI = 0.5239 ARI = 0.4027 F = 0.4654 ACC = 0.5926
Global  NMI = 0.5240 ARI = 0.4050 F = 0.4676 ACC = 0.5899
Round:  900 User: 12 Train Loss: -1.897
Round:  900 User: 31 Train Loss: -1.889
Round:  900 User: 33 Train Loss: -1.885
Round:  900 User: 37 Train Loss: -1.889
count 4
Round:  900 Train Loss: -1.890
centeral clustering:
Round:  901 User: 0 Train Loss: -1.885
Round:  901 User: 36 Train Loss: -1.885
Round:  901 User: 38 Train Loss: -1.897
Round:  901 User: 39 Train Loss: -1.892
count 4
Round:  901 Train Loss: -1.890
centeral clustering:
Round:  902 User: 2 Train Loss: -1.888
Round:  902 User: 6 Train Loss: -1.881
Round:  902 User: 19 Train Loss: -1.885
Round:  902 User: 37 Train Loss: -1.892
count 4
Round:  902 Train Loss: -1.887
centeral clustering:
Round:  903 User: 5 Train Loss: -1.891
Round:  903 User: 8 Train Loss: -1.893
Round:  903 User: 19 Train Loss: -1.891
Round:  903 User: 29 Train Loss: -1.894
count 4
Round:  903 Train Loss: -1.892
centeral clustering:
Round:  904 User: 1 Train Loss: -1.889
Round:  904 User: 21 Train Loss: -1.888
Round:  904 User: 22 Train Loss: -1.893
Round:  904 User: 29 Train Loss: -1.891
count 4
Round:  904 Train Loss: -1.890
centeral clustering:
Global  NMI = 0.5295 ARI = 0.4099 F = 0.4720 ACC = 0.5898
Round:  905 User: 1 Train Loss: -1.897
Round:  905 User: 14 Train Loss: -1.889
Round:  905 User: 15 Train Loss: -1.892
Round:  905 User: 16 Train Loss: -1.885
count 4
Round:  905 Train Loss: -1.891
centeral clustering:
Round:  906 User: 7 Train Loss: -1.892
Round:  906 User: 20 Train Loss: -1.892
Round:  906 User: 29 Train Loss: -1.897
Round:  906 User: 36 Train Loss: -1.896
count 4
Round:  906 Train Loss: -1.894
centeral clustering:
Round:  907 User: 0 Train Loss: -1.897
Round:  907 User: 4 Train Loss: -1.886
Round:  907 User: 10 Train Loss: -1.880
Round:  907 User: 33 Train Loss: -1.892
count 4
Round:  907 Train Loss: -1.889
centeral clustering:
Round:  908 User: 8 Train Loss: -1.889
Round:  908 User: 11 Train Loss: -1.897
Round:  908 User: 23 Train Loss: -1.890
Round:  908 User: 31 Train Loss: -1.883
count 4
Round:  908 Train Loss: -1.890
centeral clustering:
Round:  909 User: 2 Train Loss: -1.892
Round:  909 User: 12 Train Loss: -1.892
Round:  909 User: 35 Train Loss: -1.881
Round:  909 User: 36 Train Loss: -1.888
count 4
Round:  909 Train Loss: -1.888
centeral clustering:
Global  NMI = 0.5196 ARI = 0.4018 F = 0.4659 ACC = 0.5740
Round:  910 User: 13 Train Loss: -1.881
Round:  910 User: 17 Train Loss: -1.888
Round:  910 User: 20 Train Loss: -1.889
Round:  910 User: 25 Train Loss: -1.894
count 4
Round:  910 Train Loss: -1.888
centeral clustering:
Round:  911 User: 0 Train Loss: -1.882
Round:  911 User: 19 Train Loss: -1.890
Round:  911 User: 20 Train Loss: -1.890
Round:  911 User: 39 Train Loss: -1.893
count 4
Round:  911 Train Loss: -1.888
centeral clustering:
Round:  912 User: 0 Train Loss: -1.878
Round:  912 User: 2 Train Loss: -1.889
Round:  912 User: 4 Train Loss: -1.893
Round:  912 User: 17 Train Loss: -1.904
count 4
Round:  912 Train Loss: -1.891
centeral clustering:
Round:  913 User: 18 Train Loss: -1.893
Round:  913 User: 22 Train Loss: -1.890
Round:  913 User: 25 Train Loss: -1.891
Round:  913 User: 29 Train Loss: -1.899
count 4
Round:  913 Train Loss: -1.893
centeral clustering:
Round:  914 User: 11 Train Loss: -1.891
Round:  914 User: 23 Train Loss: -1.888
Round:  914 User: 33 Train Loss: -1.891
Round:  914 User: 35 Train Loss: -1.893
count 4
Round:  914 Train Loss: -1.891
centeral clustering:
Global  NMI = 0.5254 ARI = 0.4058 F = 0.4682 ACC = 0.5925
Round:  915 User: 4 Train Loss: -1.889
Round:  915 User: 25 Train Loss: -1.890
Round:  915 User: 27 Train Loss: -1.883
Round:  915 User: 28 Train Loss: -1.890
count 4
Round:  915 Train Loss: -1.888
centeral clustering:
Round:  916 User: 12 Train Loss: -1.892
Round:  916 User: 16 Train Loss: -1.886
Round:  916 User: 19 Train Loss: -1.892
Round:  916 User: 23 Train Loss: -1.884
count 4
Round:  916 Train Loss: -1.889
centeral clustering:
Round:  917 User: 4 Train Loss: -1.894
Round:  917 User: 8 Train Loss: -1.891
Round:  917 User: 15 Train Loss: -1.888
Round:  917 User: 30 Train Loss: -1.896
count 4
Round:  917 Train Loss: -1.892
centeral clustering:
Round:  918 User: 22 Train Loss: -1.894
Round:  918 User: 30 Train Loss: -1.885
Round:  918 User: 31 Train Loss: -1.899
Round:  918 User: 38 Train Loss: -1.893
count 4
Round:  918 Train Loss: -1.893
centeral clustering:
Round:  919 User: 13 Train Loss: -1.880
Round:  919 User: 26 Train Loss: -1.881
Round:  919 User: 30 Train Loss: -1.892
Round:  919 User: 39 Train Loss: -1.887
count 4
Round:  919 Train Loss: -1.885
centeral clustering:
Global  NMI = 0.5185 ARI = 0.3984 F = 0.4617 ACC = 0.5844
Global  NMI = 0.5177 ARI = 0.3970 F = 0.4605 ACC = 0.5822
Round:  920 User: 4 Train Loss: -1.885
Round:  920 User: 21 Train Loss: -1.888
Round:  920 User: 30 Train Loss: -1.888
Round:  920 User: 36 Train Loss: -1.890
count 4
Round:  920 Train Loss: -1.888
centeral clustering:
Round:  921 User: 12 Train Loss: -1.886
Round:  921 User: 17 Train Loss: -1.895
Round:  921 User: 29 Train Loss: -1.892
Round:  921 User: 36 Train Loss: -1.893
count 4
Round:  921 Train Loss: -1.892
centeral clustering:
Round:  922 User: 13 Train Loss: -1.891
Round:  922 User: 15 Train Loss: -1.891
Round:  922 User: 18 Train Loss: -1.891
Round:  922 User: 38 Train Loss: -1.894
count 4
Round:  922 Train Loss: -1.892
centeral clustering:
Round:  923 User: 19 Train Loss: -1.891
Round:  923 User: 24 Train Loss: -1.900
Round:  923 User: 33 Train Loss: -1.891
Round:  923 User: 35 Train Loss: -1.898
count 4
Round:  923 Train Loss: -1.895
centeral clustering:
Round:  924 User: 25 Train Loss: -1.887
Round:  924 User: 31 Train Loss: -1.884
Round:  924 User: 37 Train Loss: -1.894
Round:  924 User: 39 Train Loss: -1.890
count 4
Round:  924 Train Loss: -1.889
centeral clustering:
Global  NMI = 0.5161 ARI = 0.3950 F = 0.4587 ACC = 0.5792
Round:  925 User: 0 Train Loss: -1.889
Round:  925 User: 6 Train Loss: -1.895
Round:  925 User: 14 Train Loss: -1.890
Round:  925 User: 38 Train Loss: -1.884
count 4
Round:  925 Train Loss: -1.889
centeral clustering:
Round:  926 User: 4 Train Loss: -1.889
Round:  926 User: 14 Train Loss: -1.892
Round:  926 User: 34 Train Loss: -1.894
Round:  926 User: 39 Train Loss: -1.898
count 4
Round:  926 Train Loss: -1.893
centeral clustering:
Round:  927 User: 3 Train Loss: -1.889
Round:  927 User: 10 Train Loss: -1.899
Round:  927 User: 17 Train Loss: -1.896
Round:  927 User: 26 Train Loss: -1.891
count 4
Round:  927 Train Loss: -1.893
centeral clustering:
Round:  928 User: 4 Train Loss: -1.888
Round:  928 User: 7 Train Loss: -1.892
Round:  928 User: 20 Train Loss: -1.907
Round:  928 User: 25 Train Loss: -1.889
count 4
Round:  928 Train Loss: -1.894
centeral clustering:
Round:  929 User: 0 Train Loss: -1.881
Round:  929 User: 5 Train Loss: -1.894
Round:  929 User: 11 Train Loss: -1.895
Round:  929 User: 30 Train Loss: -1.896
count 4
Round:  929 Train Loss: -1.892
centeral clustering:
Global  NMI = 0.5304 ARI = 0.4168 F = 0.4789 ACC = 0.5940
Round:  930 User: 4 Train Loss: -1.887
Round:  930 User: 24 Train Loss: -1.889
Round:  930 User: 32 Train Loss: -1.894
Round:  930 User: 36 Train Loss: -1.899
count 4
Round:  930 Train Loss: -1.892
centeral clustering:
Round:  931 User: 7 Train Loss: -1.897
Round:  931 User: 30 Train Loss: -1.891
Round:  931 User: 34 Train Loss: -1.893
Round:  931 User: 39 Train Loss: -1.896
count 4
Round:  931 Train Loss: -1.894
centeral clustering:
Round:  932 User: 23 Train Loss: -1.894
Round:  932 User: 29 Train Loss: -1.894
Round:  932 User: 31 Train Loss: -1.894
Round:  932 User: 35 Train Loss: -1.899
count 4
Round:  932 Train Loss: -1.895
centeral clustering:
Round:  933 User: 14 Train Loss: -1.899
Round:  933 User: 18 Train Loss: -1.877
Round:  933 User: 28 Train Loss: -1.901
Round:  933 User: 35 Train Loss: -1.892
count 4
Round:  933 Train Loss: -1.892
centeral clustering:
Round:  934 User: 1 Train Loss: -1.889
Round:  934 User: 4 Train Loss: -1.899
Round:  934 User: 8 Train Loss: -1.890
Round:  934 User: 12 Train Loss: -1.900
count 4
Round:  934 Train Loss: -1.894
centeral clustering:
Global  NMI = 0.5378 ARI = 0.4208 F = 0.4818 ACC = 0.6049
Round:  935 User: 10 Train Loss: -1.900
Round:  935 User: 17 Train Loss: -1.899
Round:  935 User: 21 Train Loss: -1.899
Round:  935 User: 24 Train Loss: -1.898
count 4
Round:  935 Train Loss: -1.899
centeral clustering:
Round:  936 User: 6 Train Loss: -1.889
Round:  936 User: 17 Train Loss: -1.903
Round:  936 User: 18 Train Loss: -1.898
Round:  936 User: 29 Train Loss: -1.896
count 4
Round:  936 Train Loss: -1.896
centeral clustering:
Round:  937 User: 1 Train Loss: -1.896
Round:  937 User: 10 Train Loss: -1.898
Round:  937 User: 18 Train Loss: -1.889
Round:  937 User: 26 Train Loss: -1.888
count 4
Round:  937 Train Loss: -1.893
centeral clustering:
Round:  938 User: 2 Train Loss: -1.897
Round:  938 User: 26 Train Loss: -1.896
Round:  938 User: 32 Train Loss: -1.893
Round:  938 User: 34 Train Loss: -1.898
count 4
Round:  938 Train Loss: -1.896
centeral clustering:
Round:  939 User: 1 Train Loss: -1.907
Round:  939 User: 3 Train Loss: -1.895
Round:  939 User: 29 Train Loss: -1.895
Round:  939 User: 30 Train Loss: -1.893
count 4
Round:  939 Train Loss: -1.897
centeral clustering:
Global  NMI = 0.5364 ARI = 0.4185 F = 0.4797 ACC = 0.6046
Global  NMI = 0.5336 ARI = 0.4154 F = 0.4770 ACC = 0.6003
Round:  940 User: 0 Train Loss: -1.895
Round:  940 User: 2 Train Loss: -1.900
Round:  940 User: 9 Train Loss: -1.901
Round:  940 User: 24 Train Loss: -1.893
count 4
Round:  940 Train Loss: -1.897
centeral clustering:
Round:  941 User: 10 Train Loss: -1.887
Round:  941 User: 20 Train Loss: -1.893
Round:  941 User: 26 Train Loss: -1.893
Round:  941 User: 39 Train Loss: -1.886
count 4
Round:  941 Train Loss: -1.890
centeral clustering:
Round:  942 User: 1 Train Loss: -1.891
Round:  942 User: 14 Train Loss: -1.894
Round:  942 User: 19 Train Loss: -1.893
Round:  942 User: 32 Train Loss: -1.896
count 4
Round:  942 Train Loss: -1.893
centeral clustering:
Round:  943 User: 20 Train Loss: -1.901
Round:  943 User: 31 Train Loss: -1.894
Round:  943 User: 32 Train Loss: -1.899
Round:  943 User: 39 Train Loss: -1.898
count 4
Round:  943 Train Loss: -1.898
centeral clustering:
Round:  944 User: 8 Train Loss: -1.899
Round:  944 User: 24 Train Loss: -1.908
Round:  944 User: 26 Train Loss: -1.904
Round:  944 User: 36 Train Loss: -1.903
count 4
Round:  944 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5277 ARI = 0.4074 F = 0.4699 ACC = 0.5940
Round:  945 User: 9 Train Loss: -1.900
Round:  945 User: 10 Train Loss: -1.901
Round:  945 User: 18 Train Loss: -1.892
Round:  945 User: 24 Train Loss: -1.905
count 4
Round:  945 Train Loss: -1.899
centeral clustering:
Round:  946 User: 1 Train Loss: -1.890
Round:  946 User: 21 Train Loss: -1.894
Round:  946 User: 33 Train Loss: -1.895
Round:  946 User: 34 Train Loss: -1.886
count 4
Round:  946 Train Loss: -1.891
centeral clustering:
Round:  947 User: 2 Train Loss: -1.900
Round:  947 User: 5 Train Loss: -1.893
Round:  947 User: 23 Train Loss: -1.891
Round:  947 User: 26 Train Loss: -1.898
count 4
Round:  947 Train Loss: -1.896
centeral clustering:
Round:  948 User: 4 Train Loss: -1.897
Round:  948 User: 8 Train Loss: -1.896
Round:  948 User: 21 Train Loss: -1.900
Round:  948 User: 25 Train Loss: -1.898
count 4
Round:  948 Train Loss: -1.898
centeral clustering:
Round:  949 User: 23 Train Loss: -1.896
Round:  949 User: 28 Train Loss: -1.896
Round:  949 User: 33 Train Loss: -1.901
Round:  949 User: 38 Train Loss: -1.901
count 4
Round:  949 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5347 ARI = 0.4135 F = 0.4752 ACC = 0.5996
Round:  950 User: 2 Train Loss: -1.894
Round:  950 User: 13 Train Loss: -1.898
Round:  950 User: 16 Train Loss: -1.895
Round:  950 User: 38 Train Loss: -1.901
count 4
Round:  950 Train Loss: -1.897
centeral clustering:
Round:  951 User: 3 Train Loss: -1.902
Round:  951 User: 8 Train Loss: -1.901
Round:  951 User: 17 Train Loss: -1.898
Round:  951 User: 32 Train Loss: -1.901
count 4
Round:  951 Train Loss: -1.900
centeral clustering:
Round:  952 User: 5 Train Loss: -1.899
Round:  952 User: 10 Train Loss: -1.900
Round:  952 User: 18 Train Loss: -1.896
Round:  952 User: 27 Train Loss: -1.894
count 4
Round:  952 Train Loss: -1.897
centeral clustering:
Round:  953 User: 3 Train Loss: -1.897
Round:  953 User: 6 Train Loss: -1.890
Round:  953 User: 25 Train Loss: -1.898
Round:  953 User: 29 Train Loss: -1.905
count 4
Round:  953 Train Loss: -1.897
centeral clustering:
Round:  954 User: 8 Train Loss: -1.897
Round:  954 User: 9 Train Loss: -1.901
Round:  954 User: 21 Train Loss: -1.890
Round:  954 User: 38 Train Loss: -1.903
count 4
Round:  954 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5293 ARI = 0.4094 F = 0.4723 ACC = 0.5908
Round:  955 User: 5 Train Loss: -1.899
Round:  955 User: 12 Train Loss: -1.898
Round:  955 User: 14 Train Loss: -1.899
Round:  955 User: 21 Train Loss: -1.898
count 4
Round:  955 Train Loss: -1.898
centeral clustering:
Round:  956 User: 3 Train Loss: -1.899
Round:  956 User: 10 Train Loss: -1.908
Round:  956 User: 26 Train Loss: -1.897
Round:  956 User: 33 Train Loss: -1.896
count 4
Round:  956 Train Loss: -1.900
centeral clustering:
Round:  957 User: 3 Train Loss: -1.902
Round:  957 User: 11 Train Loss: -1.897
Round:  957 User: 23 Train Loss: -1.898
Round:  957 User: 28 Train Loss: -1.896
count 4
Round:  957 Train Loss: -1.898
centeral clustering:
Round:  958 User: 6 Train Loss: -1.887
Round:  958 User: 15 Train Loss: -1.898
Round:  958 User: 20 Train Loss: -1.894
Round:  958 User: 27 Train Loss: -1.897
count 4
Round:  958 Train Loss: -1.894
centeral clustering:
Round:  959 User: 1 Train Loss: -1.897
Round:  959 User: 11 Train Loss: -1.902
Round:  959 User: 30 Train Loss: -1.901
Round:  959 User: 33 Train Loss: -1.897
count 4
Round:  959 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5392 ARI = 0.4231 F = 0.4841 ACC = 0.6141
Global  NMI = 0.5357 ARI = 0.4190 F = 0.4805 ACC = 0.6116
Round:  960 User: 5 Train Loss: -1.893
Round:  960 User: 27 Train Loss: -1.899
Round:  960 User: 30 Train Loss: -1.901
Round:  960 User: 33 Train Loss: -1.900
count 4
Round:  960 Train Loss: -1.898
centeral clustering:
Round:  961 User: 7 Train Loss: -1.902
Round:  961 User: 9 Train Loss: -1.899
Round:  961 User: 18 Train Loss: -1.900
Round:  961 User: 30 Train Loss: -1.907
count 4
Round:  961 Train Loss: -1.902
centeral clustering:
Round:  962 User: 10 Train Loss: -1.899
Round:  962 User: 27 Train Loss: -1.898
Round:  962 User: 33 Train Loss: -1.899
Round:  962 User: 39 Train Loss: -1.901
count 4
Round:  962 Train Loss: -1.899
centeral clustering:
Round:  963 User: 14 Train Loss: -1.906
Round:  963 User: 15 Train Loss: -1.898
Round:  963 User: 26 Train Loss: -1.905
Round:  963 User: 30 Train Loss: -1.900
count 4
Round:  963 Train Loss: -1.902
centeral clustering:
Round:  964 User: 4 Train Loss: -1.899
Round:  964 User: 8 Train Loss: -1.889
Round:  964 User: 9 Train Loss: -1.899
Round:  964 User: 13 Train Loss: -1.906
count 4
Round:  964 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5331 ARI = 0.4110 F = 0.4731 ACC = 0.5990
Round:  965 User: 11 Train Loss: -1.900
Round:  965 User: 13 Train Loss: -1.891
Round:  965 User: 19 Train Loss: -1.900
Round:  965 User: 23 Train Loss: -1.902
count 4
Round:  965 Train Loss: -1.898
centeral clustering:
Round:  966 User: 18 Train Loss: -1.901
Round:  966 User: 28 Train Loss: -1.900
Round:  966 User: 29 Train Loss: -1.899
Round:  966 User: 38 Train Loss: -1.896
count 4
Round:  966 Train Loss: -1.899
centeral clustering:
Round:  967 User: 14 Train Loss: -1.898
Round:  967 User: 20 Train Loss: -1.897
Round:  967 User: 23 Train Loss: -1.894
Round:  967 User: 37 Train Loss: -1.901
count 4
Round:  967 Train Loss: -1.897
centeral clustering:
Round:  968 User: 5 Train Loss: -1.892
Round:  968 User: 19 Train Loss: -1.897
Round:  968 User: 26 Train Loss: -1.895
Round:  968 User: 39 Train Loss: -1.906
count 4
Round:  968 Train Loss: -1.897
centeral clustering:
Round:  969 User: 5 Train Loss: -1.903
Round:  969 User: 6 Train Loss: -1.894
Round:  969 User: 16 Train Loss: -1.896
Round:  969 User: 27 Train Loss: -1.896
count 4
Round:  969 Train Loss: -1.897
centeral clustering:
Global  NMI = 0.5280 ARI = 0.4092 F = 0.4716 ACC = 0.6064
Round:  970 User: 9 Train Loss: -1.894
Round:  970 User: 18 Train Loss: -1.889
Round:  970 User: 21 Train Loss: -1.897
Round:  970 User: 23 Train Loss: -1.903
count 4
Round:  970 Train Loss: -1.895
centeral clustering:
Round:  971 User: 11 Train Loss: -1.907
Round:  971 User: 17 Train Loss: -1.901
Round:  971 User: 21 Train Loss: -1.893
Round:  971 User: 26 Train Loss: -1.902
count 4
Round:  971 Train Loss: -1.901
centeral clustering:
Round:  972 User: 2 Train Loss: -1.903
Round:  972 User: 10 Train Loss: -1.895
Round:  972 User: 16 Train Loss: -1.882
Round:  972 User: 26 Train Loss: -1.899
count 4
Round:  972 Train Loss: -1.895
centeral clustering:
Round:  973 User: 12 Train Loss: -1.902
Round:  973 User: 13 Train Loss: -1.899
Round:  973 User: 25 Train Loss: -1.900
Round:  973 User: 26 Train Loss: -1.900
count 4
Round:  973 Train Loss: -1.900
centeral clustering:
Round:  974 User: 5 Train Loss: -1.905
Round:  974 User: 13 Train Loss: -1.890
Round:  974 User: 25 Train Loss: -1.902
Round:  974 User: 29 Train Loss: -1.901
count 4
Round:  974 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5186 ARI = 0.3918 F = 0.4565 ACC = 0.5863
Round:  975 User: 1 Train Loss: -1.900
Round:  975 User: 11 Train Loss: -1.898
Round:  975 User: 30 Train Loss: -1.893
Round:  975 User: 34 Train Loss: -1.901
count 4
Round:  975 Train Loss: -1.898
centeral clustering:
Round:  976 User: 1 Train Loss: -1.904
Round:  976 User: 9 Train Loss: -1.894
Round:  976 User: 22 Train Loss: -1.905
Round:  976 User: 35 Train Loss: -1.902
count 4
Round:  976 Train Loss: -1.901
centeral clustering:
Round:  977 User: 18 Train Loss: -1.897
Round:  977 User: 20 Train Loss: -1.901
Round:  977 User: 26 Train Loss: -1.903
Round:  977 User: 38 Train Loss: -1.898
count 4
Round:  977 Train Loss: -1.900
centeral clustering:
Round:  978 User: 6 Train Loss: -1.894
Round:  978 User: 12 Train Loss: -1.903
Round:  978 User: 14 Train Loss: -1.905
Round:  978 User: 23 Train Loss: -1.898
count 4
Round:  978 Train Loss: -1.900
centeral clustering:
Round:  979 User: 12 Train Loss: -1.906
Round:  979 User: 16 Train Loss: -1.898
Round:  979 User: 18 Train Loss: -1.895
Round:  979 User: 30 Train Loss: -1.908
count 4
Round:  979 Train Loss: -1.902
centeral clustering:
Global  NMI = 0.5242 ARI = 0.4028 F = 0.4658 ACC = 0.5965
Global  NMI = 0.5231 ARI = 0.3999 F = 0.4633 ACC = 0.5937
Round:  980 User: 12 Train Loss: -1.907
Round:  980 User: 14 Train Loss: -1.900
Round:  980 User: 20 Train Loss: -1.899
Round:  980 User: 23 Train Loss: -1.904
count 4
Round:  980 Train Loss: -1.902
centeral clustering:
Round:  981 User: 2 Train Loss: -1.906
Round:  981 User: 11 Train Loss: -1.900
Round:  981 User: 12 Train Loss: -1.908
Round:  981 User: 18 Train Loss: -1.902
count 4
Round:  981 Train Loss: -1.904
centeral clustering:
Round:  982 User: 18 Train Loss: -1.898
Round:  982 User: 23 Train Loss: -1.897
Round:  982 User: 34 Train Loss: -1.898
Round:  982 User: 35 Train Loss: -1.901
count 4
Round:  982 Train Loss: -1.898
centeral clustering:
Round:  983 User: 10 Train Loss: -1.902
Round:  983 User: 30 Train Loss: -1.906
Round:  983 User: 36 Train Loss: -1.899
Round:  983 User: 39 Train Loss: -1.902
count 4
Round:  983 Train Loss: -1.902
centeral clustering:
Round:  984 User: 1 Train Loss: -1.894
Round:  984 User: 6 Train Loss: -1.902
Round:  984 User: 20 Train Loss: -1.903
Round:  984 User: 36 Train Loss: -1.891
count 4
Round:  984 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5345 ARI = 0.4126 F = 0.4748 ACC = 0.6009
Round:  985 User: 14 Train Loss: -1.906
Round:  985 User: 19 Train Loss: -1.906
Round:  985 User: 21 Train Loss: -1.901
Round:  985 User: 36 Train Loss: -1.886
count 4
Round:  985 Train Loss: -1.900
centeral clustering:
Round:  986 User: 3 Train Loss: -1.899
Round:  986 User: 8 Train Loss: -1.900
Round:  986 User: 21 Train Loss: -1.894
Round:  986 User: 30 Train Loss: -1.896
count 4
Round:  986 Train Loss: -1.897
centeral clustering:
Round:  987 User: 1 Train Loss: -1.902
Round:  987 User: 4 Train Loss: -1.894
Round:  987 User: 31 Train Loss: -1.899
Round:  987 User: 39 Train Loss: -1.899
count 4
Round:  987 Train Loss: -1.898
centeral clustering:
Round:  988 User: 4 Train Loss: -1.901
Round:  988 User: 8 Train Loss: -1.897
Round:  988 User: 21 Train Loss: -1.894
Round:  988 User: 25 Train Loss: -1.895
count 4
Round:  988 Train Loss: -1.897
centeral clustering:
Round:  989 User: 3 Train Loss: -1.902
Round:  989 User: 9 Train Loss: -1.905
Round:  989 User: 20 Train Loss: -1.905
Round:  989 User: 36 Train Loss: -1.902
count 4
Round:  989 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5315 ARI = 0.4091 F = 0.4716 ACC = 0.6016
Round:  990 User: 4 Train Loss: -1.897
Round:  990 User: 19 Train Loss: -1.897
Round:  990 User: 21 Train Loss: -1.897
Round:  990 User: 37 Train Loss: -1.897
count 4
Round:  990 Train Loss: -1.897
centeral clustering:
Round:  991 User: 15 Train Loss: -1.902
Round:  991 User: 26 Train Loss: -1.901
Round:  991 User: 28 Train Loss: -1.899
Round:  991 User: 36 Train Loss: -1.905
count 4
Round:  991 Train Loss: -1.901
centeral clustering:
Round:  992 User: 3 Train Loss: -1.900
Round:  992 User: 9 Train Loss: -1.906
Round:  992 User: 27 Train Loss: -1.896
Round:  992 User: 30 Train Loss: -1.899
count 4
Round:  992 Train Loss: -1.900
centeral clustering:
Round:  993 User: 2 Train Loss: -1.896
Round:  993 User: 8 Train Loss: -1.898
Round:  993 User: 21 Train Loss: -1.898
Round:  993 User: 38 Train Loss: -1.901
count 4
Round:  993 Train Loss: -1.898
centeral clustering:
Round:  994 User: 4 Train Loss: -1.899
Round:  994 User: 26 Train Loss: -1.898
Round:  994 User: 30 Train Loss: -1.902
Round:  994 User: 38 Train Loss: -1.896
count 4
Round:  994 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5346 ARI = 0.4147 F = 0.4767 ACC = 0.6088
Round:  995 User: 10 Train Loss: -1.900
Round:  995 User: 16 Train Loss: -1.893
Round:  995 User: 17 Train Loss: -1.897
Round:  995 User: 30 Train Loss: -1.907
count 4
Round:  995 Train Loss: -1.899
centeral clustering:
Round:  996 User: 2 Train Loss: -1.908
Round:  996 User: 6 Train Loss: -1.901
Round:  996 User: 21 Train Loss: -1.891
Round:  996 User: 35 Train Loss: -1.900
count 4
Round:  996 Train Loss: -1.900
centeral clustering:
Round:  997 User: 20 Train Loss: -1.910
Round:  997 User: 21 Train Loss: -1.897
Round:  997 User: 25 Train Loss: -1.902
Round:  997 User: 27 Train Loss: -1.905
count 4
Round:  997 Train Loss: -1.904
centeral clustering:
Round:  998 User: 4 Train Loss: -1.909
Round:  998 User: 15 Train Loss: -1.897
Round:  998 User: 24 Train Loss: -1.896
Round:  998 User: 30 Train Loss: -1.907
count 4
Round:  998 Train Loss: -1.902
centeral clustering:
Round:  999 User: 6 Train Loss: -1.896
Round:  999 User: 21 Train Loss: -1.899
Round:  999 User: 22 Train Loss: -1.901
Round:  999 User: 39 Train Loss: -1.896
count 4
Round:  999 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5286 ARI = 0.4063 F = 0.4692 ACC = 0.6049
Global  NMI = 0.5274 ARI = 0.4051 F = 0.4682 ACC = 0.6028
Round:  1000 User: 16 Train Loss: -1.900
Round:  1000 User: 19 Train Loss: -1.898
Round:  1000 User: 21 Train Loss: -1.910
Round:  1000 User: 33 Train Loss: -1.900
count 4
Round:  1000 Train Loss: -1.902
centeral clustering:
Round:  1001 User: 16 Train Loss: -1.893
Round:  1001 User: 17 Train Loss: -1.904
Round:  1001 User: 32 Train Loss: -1.901
Round:  1001 User: 36 Train Loss: -1.903
count 4
Round:  1001 Train Loss: -1.900
centeral clustering:
Round:  1002 User: 11 Train Loss: -1.901
Round:  1002 User: 13 Train Loss: -1.896
Round:  1002 User: 14 Train Loss: -1.895
Round:  1002 User: 27 Train Loss: -1.896
count 4
Round:  1002 Train Loss: -1.897
centeral clustering:
Round:  1003 User: 10 Train Loss: -1.911
Round:  1003 User: 17 Train Loss: -1.909
Round:  1003 User: 36 Train Loss: -1.901
Round:  1003 User: 38 Train Loss: -1.908
count 4
Round:  1003 Train Loss: -1.907
centeral clustering:
Round:  1004 User: 0 Train Loss: -1.901
Round:  1004 User: 17 Train Loss: -1.905
Round:  1004 User: 32 Train Loss: -1.905
Round:  1004 User: 36 Train Loss: -1.902
count 4
Round:  1004 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5367 ARI = 0.4145 F = 0.4767 ACC = 0.6060
Round:  1005 User: 7 Train Loss: -1.893
Round:  1005 User: 16 Train Loss: -1.900
Round:  1005 User: 25 Train Loss: -1.901
Round:  1005 User: 35 Train Loss: -1.904
count 4
Round:  1005 Train Loss: -1.899
centeral clustering:
Round:  1006 User: 1 Train Loss: -1.888
Round:  1006 User: 15 Train Loss: -1.904
Round:  1006 User: 20 Train Loss: -1.908
Round:  1006 User: 36 Train Loss: -1.907
count 4
Round:  1006 Train Loss: -1.902
centeral clustering:
Round:  1007 User: 15 Train Loss: -1.897
Round:  1007 User: 18 Train Loss: -1.904
Round:  1007 User: 27 Train Loss: -1.903
Round:  1007 User: 28 Train Loss: -1.893
count 4
Round:  1007 Train Loss: -1.899
centeral clustering:
Round:  1008 User: 5 Train Loss: -1.907
Round:  1008 User: 18 Train Loss: -1.896
Round:  1008 User: 19 Train Loss: -1.895
Round:  1008 User: 38 Train Loss: -1.896
count 4
Round:  1008 Train Loss: -1.898
centeral clustering:
Round:  1009 User: 6 Train Loss: -1.900
Round:  1009 User: 8 Train Loss: -1.897
Round:  1009 User: 16 Train Loss: -1.901
Round:  1009 User: 17 Train Loss: -1.899
count 4
Round:  1009 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5268 ARI = 0.4072 F = 0.4702 ACC = 0.5980
Round:  1010 User: 1 Train Loss: -1.903
Round:  1010 User: 6 Train Loss: -1.903
Round:  1010 User: 12 Train Loss: -1.911
Round:  1010 User: 36 Train Loss: -1.908
count 4
Round:  1010 Train Loss: -1.906
centeral clustering:
Round:  1011 User: 12 Train Loss: -1.906
Round:  1011 User: 21 Train Loss: -1.899
Round:  1011 User: 38 Train Loss: -1.906
Round:  1011 User: 39 Train Loss: -1.898
count 4
Round:  1011 Train Loss: -1.902
centeral clustering:
Round:  1012 User: 3 Train Loss: -1.902
Round:  1012 User: 6 Train Loss: -1.903
Round:  1012 User: 30 Train Loss: -1.906
Round:  1012 User: 35 Train Loss: -1.903
count 4
Round:  1012 Train Loss: -1.903
centeral clustering:
Round:  1013 User: 10 Train Loss: -1.905
Round:  1013 User: 22 Train Loss: -1.905
Round:  1013 User: 27 Train Loss: -1.904
Round:  1013 User: 32 Train Loss: -1.905
count 4
Round:  1013 Train Loss: -1.905
centeral clustering:
Round:  1014 User: 0 Train Loss: -1.899
Round:  1014 User: 9 Train Loss: -1.903
Round:  1014 User: 11 Train Loss: -1.900
Round:  1014 User: 23 Train Loss: -1.901
count 4
Round:  1014 Train Loss: -1.901
centeral clustering:
Global  NMI = 0.5226 ARI = 0.3932 F = 0.4576 ACC = 0.5819
Round:  1015 User: 2 Train Loss: -1.907
Round:  1015 User: 17 Train Loss: -1.906
Round:  1015 User: 27 Train Loss: -1.901
Round:  1015 User: 30 Train Loss: -1.902
count 4
Round:  1015 Train Loss: -1.904
centeral clustering:
Round:  1016 User: 7 Train Loss: -1.909
Round:  1016 User: 13 Train Loss: -1.900
Round:  1016 User: 28 Train Loss: -1.898
Round:  1016 User: 36 Train Loss: -1.905
count 4
Round:  1016 Train Loss: -1.903
centeral clustering:
Round:  1017 User: 0 Train Loss: -1.900
Round:  1017 User: 3 Train Loss: -1.908
Round:  1017 User: 6 Train Loss: -1.902
Round:  1017 User: 9 Train Loss: -1.905
count 4
Round:  1017 Train Loss: -1.904
centeral clustering:
Round:  1018 User: 7 Train Loss: -1.903
Round:  1018 User: 15 Train Loss: -1.897
Round:  1018 User: 29 Train Loss: -1.904
Round:  1018 User: 30 Train Loss: -1.910
count 4
Round:  1018 Train Loss: -1.903
centeral clustering:
Round:  1019 User: 17 Train Loss: -1.906
Round:  1019 User: 23 Train Loss: -1.896
Round:  1019 User: 33 Train Loss: -1.897
Round:  1019 User: 34 Train Loss: -1.895
count 4
Round:  1019 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5344 ARI = 0.4111 F = 0.4737 ACC = 0.6008
Global  NMI = 0.5358 ARI = 0.4132 F = 0.4756 ACC = 0.6034
Round:  1020 User: 6 Train Loss: -1.901
Round:  1020 User: 21 Train Loss: -1.900
Round:  1020 User: 30 Train Loss: -1.908
Round:  1020 User: 39 Train Loss: -1.912
count 4
Round:  1020 Train Loss: -1.905
centeral clustering:
Round:  1021 User: 21 Train Loss: -1.898
Round:  1021 User: 23 Train Loss: -1.904
Round:  1021 User: 24 Train Loss: -1.903
Round:  1021 User: 27 Train Loss: -1.900
count 4
Round:  1021 Train Loss: -1.901
centeral clustering:
Round:  1022 User: 5 Train Loss: -1.896
Round:  1022 User: 6 Train Loss: -1.902
Round:  1022 User: 19 Train Loss: -1.900
Round:  1022 User: 25 Train Loss: -1.898
count 4
Round:  1022 Train Loss: -1.899
centeral clustering:
Round:  1023 User: 6 Train Loss: -1.893
Round:  1023 User: 11 Train Loss: -1.900
Round:  1023 User: 29 Train Loss: -1.900
Round:  1023 User: 39 Train Loss: -1.901
count 4
Round:  1023 Train Loss: -1.899
centeral clustering:
Round:  1024 User: 4 Train Loss: -1.900
Round:  1024 User: 25 Train Loss: -1.899
Round:  1024 User: 35 Train Loss: -1.892
Round:  1024 User: 39 Train Loss: -1.904
count 4
Round:  1024 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5303 ARI = 0.4070 F = 0.4698 ACC = 0.5970
Round:  1025 User: 8 Train Loss: -1.903
Round:  1025 User: 17 Train Loss: -1.904
Round:  1025 User: 31 Train Loss: -1.896
Round:  1025 User: 35 Train Loss: -1.902
count 4
Round:  1025 Train Loss: -1.901
centeral clustering:
Round:  1026 User: 8 Train Loss: -1.901
Round:  1026 User: 9 Train Loss: -1.907
Round:  1026 User: 24 Train Loss: -1.895
Round:  1026 User: 37 Train Loss: -1.899
count 4
Round:  1026 Train Loss: -1.900
centeral clustering:
Round:  1027 User: 20 Train Loss: -1.901
Round:  1027 User: 21 Train Loss: -1.898
Round:  1027 User: 32 Train Loss: -1.905
Round:  1027 User: 33 Train Loss: -1.897
count 4
Round:  1027 Train Loss: -1.900
centeral clustering:
Round:  1028 User: 2 Train Loss: -1.899
Round:  1028 User: 15 Train Loss: -1.899
Round:  1028 User: 24 Train Loss: -1.904
Round:  1028 User: 30 Train Loss: -1.896
count 4
Round:  1028 Train Loss: -1.900
centeral clustering:
Round:  1029 User: 7 Train Loss: -1.900
Round:  1029 User: 36 Train Loss: -1.896
Round:  1029 User: 37 Train Loss: -1.898
Round:  1029 User: 39 Train Loss: -1.902
count 4
Round:  1029 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5347 ARI = 0.4127 F = 0.4754 ACC = 0.6111
Round:  1030 User: 3 Train Loss: -1.903
Round:  1030 User: 11 Train Loss: -1.905
Round:  1030 User: 17 Train Loss: -1.909
Round:  1030 User: 37 Train Loss: -1.901
count 4
Round:  1030 Train Loss: -1.905
centeral clustering:
Round:  1031 User: 22 Train Loss: -1.899
Round:  1031 User: 24 Train Loss: -1.903
Round:  1031 User: 34 Train Loss: -1.900
Round:  1031 User: 35 Train Loss: -1.906
count 4
Round:  1031 Train Loss: -1.902
centeral clustering:
Round:  1032 User: 18 Train Loss: -1.901
Round:  1032 User: 28 Train Loss: -1.899
Round:  1032 User: 30 Train Loss: -1.911
Round:  1032 User: 32 Train Loss: -1.907
count 4
Round:  1032 Train Loss: -1.905
centeral clustering:
Round:  1033 User: 1 Train Loss: -1.902
Round:  1033 User: 8 Train Loss: -1.900
Round:  1033 User: 17 Train Loss: -1.905
Round:  1033 User: 22 Train Loss: -1.901
count 4
Round:  1033 Train Loss: -1.902
centeral clustering:
Round:  1034 User: 0 Train Loss: -1.897
Round:  1034 User: 8 Train Loss: -1.909
Round:  1034 User: 18 Train Loss: -1.893
Round:  1034 User: 32 Train Loss: -1.904
count 4
Round:  1034 Train Loss: -1.901
centeral clustering:
Global  NMI = 0.5325 ARI = 0.4119 F = 0.4742 ACC = 0.6041
Round:  1035 User: 0 Train Loss: -1.902
Round:  1035 User: 5 Train Loss: -1.893
Round:  1035 User: 18 Train Loss: -1.902
Round:  1035 User: 27 Train Loss: -1.900
count 4
Round:  1035 Train Loss: -1.899
centeral clustering:
Round:  1036 User: 5 Train Loss: -1.895
Round:  1036 User: 15 Train Loss: -1.891
Round:  1036 User: 16 Train Loss: -1.905
Round:  1036 User: 28 Train Loss: -1.901
count 4
Round:  1036 Train Loss: -1.898
centeral clustering:
Round:  1037 User: 0 Train Loss: -1.882
Round:  1037 User: 2 Train Loss: -1.894
Round:  1037 User: 36 Train Loss: -1.902
Round:  1037 User: 37 Train Loss: -1.894
count 4
Round:  1037 Train Loss: -1.893
centeral clustering:
Round:  1038 User: 10 Train Loss: -1.871
Round:  1038 User: 11 Train Loss: -1.905
Round:  1038 User: 23 Train Loss: -1.896
Round:  1038 User: 31 Train Loss: -1.898
count 4
Round:  1038 Train Loss: -1.893
centeral clustering:
Round:  1039 User: 4 Train Loss: -1.896
Round:  1039 User: 8 Train Loss: -1.898
Round:  1039 User: 15 Train Loss: -1.893
Round:  1039 User: 33 Train Loss: -1.891
count 4
Round:  1039 Train Loss: -1.895
centeral clustering:
Global  NMI = 0.5428 ARI = 0.4286 F = 0.4892 ACC = 0.6201
Global  NMI = 0.5279 ARI = 0.3942 F = 0.4631 ACC = 0.5511
Round:  1040 User: 9 Train Loss: -1.903
Round:  1040 User: 11 Train Loss: -1.908
Round:  1040 User: 14 Train Loss: -1.895
Round:  1040 User: 29 Train Loss: -1.895
count 4
Round:  1040 Train Loss: -1.900
centeral clustering:
Round:  1041 User: 7 Train Loss: -1.900
Round:  1041 User: 10 Train Loss: -1.898
Round:  1041 User: 28 Train Loss: -1.898
Round:  1041 User: 30 Train Loss: -1.902
count 4
Round:  1041 Train Loss: -1.900
centeral clustering:
Round:  1042 User: 9 Train Loss: -1.904
Round:  1042 User: 10 Train Loss: -1.901
Round:  1042 User: 28 Train Loss: -1.895
Round:  1042 User: 30 Train Loss: -1.910
count 4
Round:  1042 Train Loss: -1.903
centeral clustering:
Round:  1043 User: 3 Train Loss: -1.897
Round:  1043 User: 6 Train Loss: -1.898
Round:  1043 User: 15 Train Loss: -1.898
Round:  1043 User: 16 Train Loss: -1.897
count 4
Round:  1043 Train Loss: -1.898
centeral clustering:
Round:  1044 User: 2 Train Loss: -1.896
Round:  1044 User: 27 Train Loss: -1.894
Round:  1044 User: 29 Train Loss: -1.902
Round:  1044 User: 34 Train Loss: -1.898
count 4
Round:  1044 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5402 ARI = 0.4200 F = 0.4815 ACC = 0.6116
Round:  1045 User: 7 Train Loss: -1.902
Round:  1045 User: 15 Train Loss: -1.897
Round:  1045 User: 21 Train Loss: -1.894
Round:  1045 User: 26 Train Loss: -1.902
count 4
Round:  1045 Train Loss: -1.899
centeral clustering:
Round:  1046 User: 1 Train Loss: -1.898
Round:  1046 User: 16 Train Loss: -1.887
Round:  1046 User: 30 Train Loss: -1.894
Round:  1046 User: 39 Train Loss: -1.895
count 4
Round:  1046 Train Loss: -1.894
centeral clustering:
Round:  1047 User: 20 Train Loss: -1.898
Round:  1047 User: 25 Train Loss: -1.893
Round:  1047 User: 35 Train Loss: -1.902
Round:  1047 User: 36 Train Loss: -1.894
count 4
Round:  1047 Train Loss: -1.897
centeral clustering:
Round:  1048 User: 1 Train Loss: -1.894
Round:  1048 User: 27 Train Loss: -1.898
Round:  1048 User: 30 Train Loss: -1.905
Round:  1048 User: 37 Train Loss: -1.905
count 4
Round:  1048 Train Loss: -1.900
centeral clustering:
Round:  1049 User: 12 Train Loss: -1.905
Round:  1049 User: 23 Train Loss: -1.893
Round:  1049 User: 30 Train Loss: -1.907
Round:  1049 User: 38 Train Loss: -1.900
count 4
Round:  1049 Train Loss: -1.901
centeral clustering:
Global  NMI = 0.5390 ARI = 0.4190 F = 0.4812 ACC = 0.6018
Round:  1050 User: 28 Train Loss: -1.904
Round:  1050 User: 30 Train Loss: -1.911
Round:  1050 User: 35 Train Loss: -1.894
Round:  1050 User: 38 Train Loss: -1.898
count 4
Round:  1050 Train Loss: -1.902
centeral clustering:
Round:  1051 User: 11 Train Loss: -1.896
Round:  1051 User: 13 Train Loss: -1.892
Round:  1051 User: 15 Train Loss: -1.899
Round:  1051 User: 26 Train Loss: -1.899
count 4
Round:  1051 Train Loss: -1.897
centeral clustering:
Round:  1052 User: 16 Train Loss: -1.897
Round:  1052 User: 17 Train Loss: -1.907
Round:  1052 User: 19 Train Loss: -1.905
Round:  1052 User: 28 Train Loss: -1.902
count 4
Round:  1052 Train Loss: -1.903
centeral clustering:
Round:  1053 User: 7 Train Loss: -1.895
Round:  1053 User: 26 Train Loss: -1.900
Round:  1053 User: 29 Train Loss: -1.899
Round:  1053 User: 36 Train Loss: -1.901
count 4
Round:  1053 Train Loss: -1.899
centeral clustering:
Round:  1054 User: 7 Train Loss: -1.898
Round:  1054 User: 18 Train Loss: -1.903
Round:  1054 User: 34 Train Loss: -1.901
Round:  1054 User: 37 Train Loss: -1.895
count 4
Round:  1054 Train Loss: -1.899
centeral clustering:
Global  NMI = 0.5350 ARI = 0.4046 F = 0.4685 ACC = 0.5970
Round:  1055 User: 14 Train Loss: -1.896
Round:  1055 User: 28 Train Loss: -1.895
Round:  1055 User: 29 Train Loss: -1.904
Round:  1055 User: 39 Train Loss: -1.903
count 4
Round:  1055 Train Loss: -1.900
centeral clustering:
Round:  1056 User: 1 Train Loss: -1.899
Round:  1056 User: 6 Train Loss: -1.896
Round:  1056 User: 28 Train Loss: -1.902
Round:  1056 User: 34 Train Loss: -1.901
count 4
Round:  1056 Train Loss: -1.900
centeral clustering:
Round:  1057 User: 2 Train Loss: -1.900
Round:  1057 User: 13 Train Loss: -1.899
Round:  1057 User: 19 Train Loss: -1.894
Round:  1057 User: 31 Train Loss: -1.889
count 4
Round:  1057 Train Loss: -1.895
centeral clustering:
Round:  1058 User: 1 Train Loss: -1.909
Round:  1058 User: 19 Train Loss: -1.892
Round:  1058 User: 32 Train Loss: -1.906
Round:  1058 User: 34 Train Loss: -1.902
count 4
Round:  1058 Train Loss: -1.902
centeral clustering:
Round:  1059 User: 4 Train Loss: -1.900
Round:  1059 User: 14 Train Loss: -1.905
Round:  1059 User: 17 Train Loss: -1.903
Round:  1059 User: 18 Train Loss: -1.893
count 4
Round:  1059 Train Loss: -1.900
centeral clustering:
Global  NMI = 0.5341 ARI = 0.4043 F = 0.4686 ACC = 0.6020
Global  NMI = 0.5286 ARI = 0.3966 F = 0.4618 ACC = 0.5905
Round:  1060 User: 2 Train Loss: -1.906
Round:  1060 User: 9 Train Loss: -1.911
Round:  1060 User: 11 Train Loss: -1.906
Round:  1060 User: 22 Train Loss: -1.901
count 4
Round:  1060 Train Loss: -1.906
centeral clustering:
Round:  1061 User: 19 Train Loss: -1.901
Round:  1061 User: 22 Train Loss: -1.899
Round:  1061 User: 25 Train Loss: -1.907
Round:  1061 User: 37 Train Loss: -1.907
count 4
Round:  1061 Train Loss: -1.903
centeral clustering:
Round:  1062 User: 2 Train Loss: -1.909
Round:  1062 User: 4 Train Loss: -1.898
Round:  1062 User: 29 Train Loss: -1.897
Round:  1062 User: 37 Train Loss: -1.904
count 4
Round:  1062 Train Loss: -1.902
centeral clustering:
Round:  1063 User: 0 Train Loss: -1.898
Round:  1063 User: 17 Train Loss: -1.912
Round:  1063 User: 25 Train Loss: -1.908
Round:  1063 User: 32 Train Loss: -1.909
count 4
Round:  1063 Train Loss: -1.907
centeral clustering:
Round:  1064 User: 18 Train Loss: -1.900
Round:  1064 User: 24 Train Loss: -1.904
Round:  1064 User: 25 Train Loss: -1.908
Round:  1064 User: 27 Train Loss: -1.898
count 4
Round:  1064 Train Loss: -1.902
centeral clustering:
Global  NMI = 0.5167 ARI = 0.3759 F = 0.4428 ACC = 0.5566
Round:  1065 User: 10 Train Loss: -1.898
Round:  1065 User: 11 Train Loss: -1.907
Round:  1065 User: 20 Train Loss: -1.901
Round:  1065 User: 38 Train Loss: -1.900
count 4
Round:  1065 Train Loss: -1.902
centeral clustering:
Round:  1066 User: 6 Train Loss: -1.901
Round:  1066 User: 12 Train Loss: -1.905
Round:  1066 User: 25 Train Loss: -1.913
Round:  1066 User: 27 Train Loss: -1.900
count 4
Round:  1066 Train Loss: -1.905
centeral clustering:
Round:  1067 User: 13 Train Loss: -1.900
Round:  1067 User: 21 Train Loss: -1.897
Round:  1067 User: 32 Train Loss: -1.903
Round:  1067 User: 39 Train Loss: -1.903
count 4
Round:  1067 Train Loss: -1.901
centeral clustering:
Round:  1068 User: 23 Train Loss: -1.900
Round:  1068 User: 24 Train Loss: -1.903
Round:  1068 User: 28 Train Loss: -1.904
Round:  1068 User: 33 Train Loss: -1.906
count 4
Round:  1068 Train Loss: -1.903
centeral clustering:
Round:  1069 User: 0 Train Loss: -1.899
Round:  1069 User: 6 Train Loss: -1.903
Round:  1069 User: 11 Train Loss: -1.901
Round:  1069 User: 17 Train Loss: -1.903
count 4
Round:  1069 Train Loss: -1.901
centeral clustering:
Global  NMI = 0.5156 ARI = 0.3809 F = 0.4476 ACC = 0.5591
Round:  1070 User: 15 Train Loss: -1.895
Round:  1070 User: 18 Train Loss: -1.898
Round:  1070 User: 30 Train Loss: -1.902
Round:  1070 User: 39 Train Loss: -1.906
count 4
Round:  1070 Train Loss: -1.900
centeral clustering:
Round:  1071 User: 1 Train Loss: -1.904
Round:  1071 User: 8 Train Loss: -1.896
Round:  1071 User: 27 Train Loss: -1.906
Round:  1071 User: 33 Train Loss: -1.907
count 4
Round:  1071 Train Loss: -1.903
centeral clustering:
Round:  1072 User: 9 Train Loss: -1.899
Round:  1072 User: 11 Train Loss: -1.898
Round:  1072 User: 29 Train Loss: -1.903
Round:  1072 User: 30 Train Loss: -1.898
count 4
Round:  1072 Train Loss: -1.900
centeral clustering:
Round:  1073 User: 19 Train Loss: -1.897
Round:  1073 User: 20 Train Loss: -1.904
Round:  1073 User: 25 Train Loss: -1.893
Round:  1073 User: 31 Train Loss: -1.891
count 4
Round:  1073 Train Loss: -1.896
centeral clustering:
Round:  1074 User: 5 Train Loss: -1.893
Round:  1074 User: 6 Train Loss: -1.903
Round:  1074 User: 7 Train Loss: -1.893
Round:  1074 User: 15 Train Loss: -1.897
count 4
Round:  1074 Train Loss: -1.897
centeral clustering:
Global  NMI = 0.5186 ARI = 0.3804 F = 0.4470 ACC = 0.5602
Round:  1075 User: 7 Train Loss: -1.906
Round:  1075 User: 9 Train Loss: -1.902
Round:  1075 User: 13 Train Loss: -1.899
Round:  1075 User: 33 Train Loss: -1.891
count 4
Round:  1075 Train Loss: -1.900
centeral clustering:
Round:  1076 User: 12 Train Loss: -1.906
Round:  1076 User: 20 Train Loss: -1.906
Round:  1076 User: 21 Train Loss: -1.894
Round:  1076 User: 28 Train Loss: -1.895
count 4
Round:  1076 Train Loss: -1.900
centeral clustering:
Round:  1077 User: 15 Train Loss: -1.898
Round:  1077 User: 25 Train Loss: -1.897
Round:  1077 User: 27 Train Loss: -1.900
Round:  1077 User: 31 Train Loss: -1.894
count 4
Round:  1077 Train Loss: -1.897
centeral clustering:
Round:  1078 User: 4 Train Loss: -1.896
Round:  1078 User: 8 Train Loss: -1.896
Round:  1078 User: 21 Train Loss: -1.894
Round:  1078 User: 31 Train Loss: -1.898
count 4
Round:  1078 Train Loss: -1.896
centeral clustering:
Round:  1079 User: 24 Train Loss: -1.902
Round:  1079 User: 25 Train Loss: -1.905
Round:  1079 User: 30 Train Loss: -1.908
Round:  1079 User: 32 Train Loss: -1.910
count 4
Round:  1079 Train Loss: -1.907
centeral clustering:
Global  NMI = 0.5128 ARI = 0.3782 F = 0.4445 ACC = 0.5496
Global  NMI = 0.5145 ARI = 0.3838 F = 0.4496 ACC = 0.5580
Round:  1080 User: 3 Train Loss: -1.903
Round:  1080 User: 21 Train Loss: -1.900
Round:  1080 User: 26 Train Loss: -1.899
Round:  1080 User: 36 Train Loss: -1.898
count 4
Round:  1080 Train Loss: -1.900
centeral clustering:
Round:  1081 User: 11 Train Loss: -1.903
Round:  1081 User: 17 Train Loss: -1.898
Round:  1081 User: 26 Train Loss: -1.899
Round:  1081 User: 27 Train Loss: -1.902
count 4
Round:  1081 Train Loss: -1.901
centeral clustering:
Round:  1082 User: 9 Train Loss: -1.902
Round:  1082 User: 28 Train Loss: -1.901
Round:  1082 User: 35 Train Loss: -1.892
Round:  1082 User: 36 Train Loss: -1.895
count 4
Round:  1082 Train Loss: -1.897
centeral clustering:
Round:  1083 User: 12 Train Loss: -1.905
Round:  1083 User: 23 Train Loss: -1.900
Round:  1083 User: 26 Train Loss: -1.897
Round:  1083 User: 30 Train Loss: -1.906
count 4
Round:  1083 Train Loss: -1.902
centeral clustering:
Round:  1084 User: 0 Train Loss: -1.904
Round:  1084 User: 10 Train Loss: -1.893
Round:  1084 User: 21 Train Loss: -1.897
Round:  1084 User: 27 Train Loss: -1.896
count 4
Round:  1084 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5011 ARI = 0.3766 F = 0.4409 ACC = 0.5818
Round:  1085 User: 9 Train Loss: -1.900
Round:  1085 User: 13 Train Loss: -1.898
Round:  1085 User: 16 Train Loss: -1.892
Round:  1085 User: 36 Train Loss: -1.905
count 4
Round:  1085 Train Loss: -1.899
centeral clustering:
Round:  1086 User: 5 Train Loss: -1.903
Round:  1086 User: 9 Train Loss: -1.901
Round:  1086 User: 24 Train Loss: -1.905
Round:  1086 User: 28 Train Loss: -1.905
count 4
Round:  1086 Train Loss: -1.904
centeral clustering:
Round:  1087 User: 0 Train Loss: -1.897
Round:  1087 User: 6 Train Loss: -1.898
Round:  1087 User: 26 Train Loss: -1.901
Round:  1087 User: 30 Train Loss: -1.906
count 4
Round:  1087 Train Loss: -1.901
centeral clustering:
Round:  1088 User: 0 Train Loss: -1.897
Round:  1088 User: 6 Train Loss: -1.905
Round:  1088 User: 7 Train Loss: -1.905
Round:  1088 User: 29 Train Loss: -1.897
count 4
Round:  1088 Train Loss: -1.901
centeral clustering:
Round:  1089 User: 4 Train Loss: -1.899
Round:  1089 User: 15 Train Loss: -1.896
Round:  1089 User: 29 Train Loss: -1.904
Round:  1089 User: 39 Train Loss: -1.902
count 4
Round:  1089 Train Loss: -1.901
centeral clustering:
Global  NMI = 0.5430 ARI = 0.4157 F = 0.4781 ACC = 0.6050
Round:  1090 User: 7 Train Loss: -1.892
Round:  1090 User: 15 Train Loss: -1.900
Round:  1090 User: 27 Train Loss: -1.901
Round:  1090 User: 35 Train Loss: -1.885
count 4
Round:  1090 Train Loss: -1.895
centeral clustering:
Round:  1091 User: 0 Train Loss: -1.895
Round:  1091 User: 22 Train Loss: -1.890
Round:  1091 User: 24 Train Loss: -1.896
Round:  1091 User: 38 Train Loss: -1.895
count 4
Round:  1091 Train Loss: -1.894
centeral clustering:
Round:  1092 User: 2 Train Loss: -1.901
Round:  1092 User: 9 Train Loss: -1.905
Round:  1092 User: 13 Train Loss: -1.896
Round:  1092 User: 14 Train Loss: -1.900
count 4
Round:  1092 Train Loss: -1.900
centeral clustering:
Round:  1093 User: 2 Train Loss: -1.902
Round:  1093 User: 21 Train Loss: -1.901
Round:  1093 User: 34 Train Loss: -1.893
Round:  1093 User: 39 Train Loss: -1.903
count 4
Round:  1093 Train Loss: -1.900
centeral clustering:
Round:  1094 User: 20 Train Loss: -1.902
Round:  1094 User: 29 Train Loss: -1.900
Round:  1094 User: 33 Train Loss: -1.902
Round:  1094 User: 37 Train Loss: -1.902
count 4
Round:  1094 Train Loss: -1.902
centeral clustering:
Global  NMI = 0.5217 ARI = 0.3773 F = 0.4453 ACC = 0.5541
Round:  1095 User: 4 Train Loss: -1.895
Round:  1095 User: 7 Train Loss: -1.907
Round:  1095 User: 24 Train Loss: -1.904
Round:  1095 User: 27 Train Loss: -1.900
count 4
Round:  1095 Train Loss: -1.901
centeral clustering:
Round:  1096 User: 1 Train Loss: -1.895
Round:  1096 User: 16 Train Loss: -1.892
Round:  1096 User: 17 Train Loss: -1.895
Round:  1096 User: 30 Train Loss: -1.902
count 4
Round:  1096 Train Loss: -1.896
centeral clustering:
Round:  1097 User: 9 Train Loss: -1.893
Round:  1097 User: 23 Train Loss: -1.896
Round:  1097 User: 31 Train Loss: -1.892
Round:  1097 User: 33 Train Loss: -1.901
count 4
Round:  1097 Train Loss: -1.895
centeral clustering:
Round:  1098 User: 18 Train Loss: -1.899
Round:  1098 User: 19 Train Loss: -1.899
Round:  1098 User: 32 Train Loss: -1.899
Round:  1098 User: 38 Train Loss: -1.894
count 4
Round:  1098 Train Loss: -1.898
centeral clustering:
Round:  1099 User: 3 Train Loss: -1.908
Round:  1099 User: 11 Train Loss: -1.905
Round:  1099 User: 15 Train Loss: -1.899
Round:  1099 User: 39 Train Loss: -1.903
count 4
Round:  1099 Train Loss: -1.904
centeral clustering:
Global  NMI = 0.5450 ARI = 0.4121 F = 0.4751 ACC = 0.6072
Global  NMI = 0.5431 ARI = 0.4105 F = 0.4738 ACC = 0.6033
Round:  1100 User: 6 Train Loss: -1.899
Round:  1100 User: 18 Train Loss: -1.900
Round:  1100 User: 28 Train Loss: -1.900
Round:  1100 User: 36 Train Loss: -1.900
count 4
Round:  1100 Train Loss: -1.900
centeral clustering:
Round:  1101 User: 1 Train Loss: -1.892
Round:  1101 User: 15 Train Loss: -1.897
Round:  1101 User: 23 Train Loss: -1.892
Round:  1101 User: 34 Train Loss: -1.888
count 4
Round:  1101 Train Loss: -1.892
centeral clustering:
Round:  1102 User: 7 Train Loss: -1.900
Round:  1102 User: 10 Train Loss: -1.903
Round:  1102 User: 32 Train Loss: -1.903
Round:  1102 User: 37 Train Loss: -1.894
count 4
Round:  1102 Train Loss: -1.900
centeral clustering:
Round:  1103 User: 1 Train Loss: -1.891
Round:  1103 User: 13 Train Loss: -1.897
Round:  1103 User: 31 Train Loss: -1.898
Round:  1103 User: 37 Train Loss: -1.903
count 4
Round:  1103 Train Loss: -1.897
centeral clustering:
Round:  1104 User: 8 Train Loss: -1.907
Round:  1104 User: 26 Train Loss: -1.903
Round:  1104 User: 31 Train Loss: -1.896
Round:  1104 User: 39 Train Loss: -1.906
count 4
Round:  1104 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5400 ARI = 0.4106 F = 0.4741 ACC = 0.6049
Round:  1105 User: 11 Train Loss: -1.901
Round:  1105 User: 15 Train Loss: -1.903
Round:  1105 User: 19 Train Loss: -1.898
Round:  1105 User: 37 Train Loss: -1.904
count 4
Round:  1105 Train Loss: -1.902
centeral clustering:
Round:  1106 User: 10 Train Loss: -1.894
Round:  1106 User: 18 Train Loss: -1.901
Round:  1106 User: 30 Train Loss: -1.906
Round:  1106 User: 37 Train Loss: -1.896
count 4
Round:  1106 Train Loss: -1.899
centeral clustering:
Round:  1107 User: 3 Train Loss: -1.898
Round:  1107 User: 13 Train Loss: -1.900
Round:  1107 User: 34 Train Loss: -1.901
Round:  1107 User: 38 Train Loss: -1.900
count 4
Round:  1107 Train Loss: -1.900
centeral clustering:
Round:  1108 User: 7 Train Loss: -1.897
Round:  1108 User: 30 Train Loss: -1.893
Round:  1108 User: 33 Train Loss: -1.901
Round:  1108 User: 38 Train Loss: -1.900
count 4
Round:  1108 Train Loss: -1.898
centeral clustering:
Round:  1109 User: 3 Train Loss: -1.904
Round:  1109 User: 8 Train Loss: -1.897
Round:  1109 User: 32 Train Loss: -1.904
Round:  1109 User: 39 Train Loss: -1.906
count 4
Round:  1109 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5254 ARI = 0.3926 F = 0.4575 ACC = 0.5776
Round:  1110 User: 9 Train Loss: -1.904
Round:  1110 User: 15 Train Loss: -1.898
Round:  1110 User: 26 Train Loss: -1.897
Round:  1110 User: 33 Train Loss: -1.890
count 4
Round:  1110 Train Loss: -1.897
centeral clustering:
Round:  1111 User: 8 Train Loss: -1.898
Round:  1111 User: 12 Train Loss: -1.907
Round:  1111 User: 26 Train Loss: -1.907
Round:  1111 User: 34 Train Loss: -1.894
count 4
Round:  1111 Train Loss: -1.902
centeral clustering:
Round:  1112 User: 12 Train Loss: -1.912
Round:  1112 User: 15 Train Loss: -1.902
Round:  1112 User: 25 Train Loss: -1.905
Round:  1112 User: 36 Train Loss: -1.900
count 4
Round:  1112 Train Loss: -1.905
centeral clustering:
Round:  1113 User: 9 Train Loss: -1.893
Round:  1113 User: 12 Train Loss: -1.903
Round:  1113 User: 20 Train Loss: -1.898
Round:  1113 User: 37 Train Loss: -1.903
count 4
Round:  1113 Train Loss: -1.899
centeral clustering:
Round:  1114 User: 4 Train Loss: -1.894
Round:  1114 User: 6 Train Loss: -1.890
Round:  1114 User: 9 Train Loss: -1.903
Round:  1114 User: 17 Train Loss: -1.895
count 4
Round:  1114 Train Loss: -1.895
centeral clustering:
Global  NMI = 0.5396 ARI = 0.4109 F = 0.4745 ACC = 0.6068
Round:  1115 User: 5 Train Loss: -1.900
Round:  1115 User: 10 Train Loss: -1.893
Round:  1115 User: 29 Train Loss: -1.897
Round:  1115 User: 38 Train Loss: -1.896
count 4
Round:  1115 Train Loss: -1.897
centeral clustering:
Round:  1116 User: 7 Train Loss: -1.899
Round:  1116 User: 22 Train Loss: -1.896
Round:  1116 User: 27 Train Loss: -1.891
Round:  1116 User: 30 Train Loss: -1.905
count 4
Round:  1116 Train Loss: -1.898
centeral clustering:
Round:  1117 User: 3 Train Loss: -1.894
Round:  1117 User: 12 Train Loss: -1.905
Round:  1117 User: 22 Train Loss: -1.891
Round:  1117 User: 26 Train Loss: -1.894
count 4
Round:  1117 Train Loss: -1.896
centeral clustering:
Round:  1118 User: 4 Train Loss: -1.903
Round:  1118 User: 16 Train Loss: -1.895
Round:  1118 User: 24 Train Loss: -1.894
Round:  1118 User: 26 Train Loss: -1.898
count 4
Round:  1118 Train Loss: -1.898
centeral clustering:
Round:  1119 User: 8 Train Loss: -1.891
Round:  1119 User: 26 Train Loss: -1.897
Round:  1119 User: 29 Train Loss: -1.907
Round:  1119 User: 36 Train Loss: -1.897
count 4
Round:  1119 Train Loss: -1.898
centeral clustering:
Global  NMI = 0.5364 ARI = 0.4053 F = 0.4693 ACC = 0.5940
Global  NMI = 0.5334 ARI = 0.3938 F = 0.4635 ACC = 0.5377
Round:  1120 User: 22 Train Loss: -1.899
Round:  1120 User: 31 Train Loss: -1.893
Round:  1120 User: 33 Train Loss: -1.898
Round:  1120 User: 37 Train Loss: -1.898
count 4
Round:  1120 Train Loss: -1.897
centeral clustering:
Round:  1121 User: 4 Train Loss: -1.896
Round:  1121 User: 6 Train Loss: -1.904
Round:  1121 User: 17 Train Loss: -1.903
Round:  1121 User: 26 Train Loss: -1.906
count 4
Round:  1121 Train Loss: -1.902
centeral clustering:
Round:  1122 User: 8 Train Loss: -1.901
Round:  1122 User: 21 Train Loss: -1.899
Round:  1122 User: 23 Train Loss: -1.900
Round:  1122 User: 39 Train Loss: -1.906
count 4
Round:  1122 Train Loss: -1.902
centeral clustering:
Round:  1123 User: 3 Train Loss: -1.897
Round:  1123 User: 4 Train Loss: -1.904
Round:  1123 User: 25 Train Loss: -1.899
Round:  1123 User: 33 Train Loss: -1.901
count 4
Round:  1123 Train Loss: -1.900
centeral clustering:
Round:  1124 User: 8 Train Loss: -1.895
Round:  1124 User: 9 Train Loss: -1.897
Round:  1124 User: 22 Train Loss: -1.898
Round:  1124 User: 36 Train Loss: -1.909
count 4
Round:  1124 Train Loss: -1.900
centeral clustering:
Global  NMI = 0.5272 ARI = 0.3852 F = 0.4522 ACC = 0.5472
Round:  1125 User: 5 Train Loss: -1.898
Round:  1125 User: 10 Train Loss: -1.900
Round:  1125 User: 14 Train Loss: -1.903
Round:  1125 User: 32 Train Loss: -1.903
count 4
Round:  1125 Train Loss: -1.901
centeral clustering:
Round:  1126 User: 3 Train Loss: -1.895
Round:  1126 User: 25 Train Loss: -1.889
Round:  1126 User: 30 Train Loss: -1.895
Round:  1126 User: 36 Train Loss: -1.896
count 4
Round:  1126 Train Loss: -1.894
centeral clustering:
Round:  1127 User: 6 Train Loss: -1.899
Round:  1127 User: 33 Train Loss: -1.903
Round:  1127 User: 34 Train Loss: -1.901
Round:  1127 User: 38 Train Loss: -1.897
count 4
Round:  1127 Train Loss: -1.900
centeral clustering:
Round:  1128 User: 5 Train Loss: -1.900
Round:  1128 User: 11 Train Loss: -1.898
Round:  1128 User: 15 Train Loss: -1.903
Round:  1128 User: 36 Train Loss: -1.902
count 4
Round:  1128 Train Loss: -1.901
centeral clustering:
Round:  1129 User: 31 Train Loss: -1.893
Round:  1129 User: 32 Train Loss: -1.903
Round:  1129 User: 35 Train Loss: -1.902
Round:  1129 User: 37 Train Loss: -1.904
count 4
Round:  1129 Train Loss: -1.900
centeral clustering:
Global  NMI = 0.5412 ARI = 0.4187 F = 0.4811 ACC = 0.6105
Round:  1130 User: 10 Train Loss: -1.905
Round:  1130 User: 12 Train Loss: -1.903
Round:  1130 User: 21 Train Loss: -1.891
Round:  1130 User: 30 Train Loss: -1.902
count 4
Round:  1130 Train Loss: -1.900
centeral clustering:
Round:  1131 User: 7 Train Loss: -1.901
Round:  1131 User: 9 Train Loss: -1.899
Round:  1131 User: 10 Train Loss: -1.903
Round:  1131 User: 26 Train Loss: -1.900
count 4
Round:  1131 Train Loss: -1.901
centeral clustering:
Round:  1132 User: 14 Train Loss: -1.900
Round:  1132 User: 25 Train Loss: -1.901
Round:  1132 User: 32 Train Loss: -1.905
Round:  1132 User: 33 Train Loss: -1.896
count 4
Round:  1132 Train Loss: -1.901
centeral clustering:
Round:  1133 User: 7 Train Loss: -1.905
Round:  1133 User: 11 Train Loss: -1.901
Round:  1133 User: 30 Train Loss: -1.900
Round:  1133 User: 35 Train Loss: -1.897
count 4
Round:  1133 Train Loss: -1.901
centeral clustering:
Round:  1134 User: 4 Train Loss: -1.902
Round:  1134 User: 17 Train Loss: -1.903
Round:  1134 User: 30 Train Loss: -1.903
Round:  1134 User: 36 Train Loss: -1.904
count 4
Round:  1134 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5337 ARI = 0.4032 F = 0.4679 ACC = 0.6053
Round:  1135 User: 10 Train Loss: -1.893
Round:  1135 User: 14 Train Loss: -1.903
Round:  1135 User: 16 Train Loss: -1.890
Round:  1135 User: 35 Train Loss: -1.902
count 4
Round:  1135 Train Loss: -1.897
centeral clustering:
Round:  1136 User: 16 Train Loss: -1.886
Round:  1136 User: 21 Train Loss: -1.901
Round:  1136 User: 32 Train Loss: -1.907
Round:  1136 User: 37 Train Loss: -1.895
count 4
Round:  1136 Train Loss: -1.897
centeral clustering:
Round:  1137 User: 6 Train Loss: -1.890
Round:  1137 User: 26 Train Loss: -1.904
Round:  1137 User: 29 Train Loss: -1.901
Round:  1137 User: 36 Train Loss: -1.900
count 4
Round:  1137 Train Loss: -1.899
centeral clustering:
Round:  1138 User: 3 Train Loss: -1.902
Round:  1138 User: 14 Train Loss: -1.905
Round:  1138 User: 31 Train Loss: -1.893
Round:  1138 User: 39 Train Loss: -1.901
count 4
Round:  1138 Train Loss: -1.900
centeral clustering:
Round:  1139 User: 2 Train Loss: -1.916
Round:  1139 User: 14 Train Loss: -1.899
Round:  1139 User: 29 Train Loss: -1.902
Round:  1139 User: 35 Train Loss: -1.900
count 4
Round:  1139 Train Loss: -1.904
centeral clustering:
Global  NMI = 0.5404 ARI = 0.4146 F = 0.4777 ACC = 0.6063
Global  NMI = 0.5212 ARI = 0.3753 F = 0.4454 ACC = 0.5299
Round:  1140 User: 10 Train Loss: -1.901
Round:  1140 User: 16 Train Loss: -1.903
Round:  1140 User: 22 Train Loss: -1.903
Round:  1140 User: 28 Train Loss: -1.905
count 4
Round:  1140 Train Loss: -1.903
centeral clustering:
Round:  1141 User: 2 Train Loss: -1.902
Round:  1141 User: 17 Train Loss: -1.908
Round:  1141 User: 24 Train Loss: -1.907
Round:  1141 User: 27 Train Loss: -1.898
count 4
Round:  1141 Train Loss: -1.903
centeral clustering:
Round:  1142 User: 0 Train Loss: -1.909
Round:  1142 User: 24 Train Loss: -1.907
Round:  1142 User: 31 Train Loss: -1.898
Round:  1142 User: 35 Train Loss: -1.910
count 4
Round:  1142 Train Loss: -1.906
centeral clustering:
Round:  1143 User: 2 Train Loss: -1.906
Round:  1143 User: 5 Train Loss: -1.901
Round:  1143 User: 17 Train Loss: -1.911
Round:  1143 User: 26 Train Loss: -1.893
count 4
Round:  1143 Train Loss: -1.903
centeral clustering:
Round:  1144 User: 3 Train Loss: -1.900
Round:  1144 User: 11 Train Loss: -1.906
Round:  1144 User: 24 Train Loss: -1.906
Round:  1144 User: 34 Train Loss: -1.904
count 4
Round:  1144 Train Loss: -1.904
centeral clustering:
Global  NMI = 0.5322 ARI = 0.4110 F = 0.4734 ACC = 0.5949
Round:  1145 User: 0 Train Loss: -1.904
Round:  1145 User: 13 Train Loss: -1.893
Round:  1145 User: 16 Train Loss: -1.895
Round:  1145 User: 39 Train Loss: -1.903
count 4
Round:  1145 Train Loss: -1.899
centeral clustering:
Round:  1146 User: 8 Train Loss: -1.899
Round:  1146 User: 19 Train Loss: -1.903
Round:  1146 User: 26 Train Loss: -1.911
Round:  1146 User: 37 Train Loss: -1.904
count 4
Round:  1146 Train Loss: -1.904
centeral clustering:
Round:  1147 User: 2 Train Loss: -1.901
Round:  1147 User: 18 Train Loss: -1.897
Round:  1147 User: 23 Train Loss: -1.897
Round:  1147 User: 26 Train Loss: -1.909
count 4
Round:  1147 Train Loss: -1.901
centeral clustering:
Round:  1148 User: 1 Train Loss: -1.900
Round:  1148 User: 11 Train Loss: -1.888
Round:  1148 User: 21 Train Loss: -1.901
Round:  1148 User: 36 Train Loss: -1.907
count 4
Round:  1148 Train Loss: -1.899
centeral clustering:
Round:  1149 User: 3 Train Loss: -1.909
Round:  1149 User: 12 Train Loss: -1.913
Round:  1149 User: 19 Train Loss: -1.905
Round:  1149 User: 22 Train Loss: -1.901
count 4
Round:  1149 Train Loss: -1.907
centeral clustering:
Global  NMI = 0.5397 ARI = 0.4174 F = 0.4793 ACC = 0.6089
Round:  1150 User: 9 Train Loss: -1.904
Round:  1150 User: 15 Train Loss: -1.904
Round:  1150 User: 38 Train Loss: -1.903
Round:  1150 User: 39 Train Loss: -1.900
count 4
Round:  1150 Train Loss: -1.903
centeral clustering:
Round:  1151 User: 5 Train Loss: -1.906
Round:  1151 User: 16 Train Loss: -1.904
Round:  1151 User: 19 Train Loss: -1.896
Round:  1151 User: 29 Train Loss: -1.906
count 4
Round:  1151 Train Loss: -1.903
centeral clustering:
Round:  1152 User: 7 Train Loss: -1.904
Round:  1152 User: 8 Train Loss: -1.901
Round:  1152 User: 10 Train Loss: -1.909
Round:  1152 User: 16 Train Loss: -1.904
count 4
Round:  1152 Train Loss: -1.905
centeral clustering:
Round:  1153 User: 20 Train Loss: -1.907
Round:  1153 User: 26 Train Loss: -1.909
Round:  1153 User: 32 Train Loss: -1.900
Round:  1153 User: 36 Train Loss: -1.900
count 4
Round:  1153 Train Loss: -1.904
centeral clustering:
Round:  1154 User: 6 Train Loss: -1.904
Round:  1154 User: 11 Train Loss: -1.901
Round:  1154 User: 31 Train Loss: -1.899
Round:  1154 User: 32 Train Loss: -1.906
count 4
Round:  1154 Train Loss: -1.903
centeral clustering:
Global  NMI = 0.5386 ARI = 0.4058 F = 0.4702 ACC = 0.5953
Round:  1155 User: 13 Train Loss: -1.895
Round:  1155 User: 15 Train Loss: -1.906
Round:  1155 User: 27 Train Loss: -1.901
Round:  1155 User: 34 Train Loss: -1.901
count 4
Round:  1155 Train Loss: -1.901
centeral clustering:
Round:  1156 User: 2 Train Loss: -1.904
Round:  1156 User: 11 Train Loss: -1.902
Round:  1156 User: 30 Train Loss: -1.914
Round:  1156 User: 32 Train Loss: -1.906
count 4
Round:  1156 Train Loss: -1.907
centeral clustering:
Round:  1157 User: 5 Train Loss: -1.905
Round:  1157 User: 11 Train Loss: -1.910
Round:  1157 User: 14 Train Loss: -1.904
Round:  1157 User: 16 Train Loss: -1.910
count 4
Round:  1157 Train Loss: -1.907
centeral clustering:
Round:  1158 User: 3 Train Loss: -1.903
Round:  1158 User: 7 Train Loss: -1.900
Round:  1158 User: 30 Train Loss: -1.914
Round:  1158 User: 36 Train Loss: -1.906
count 4
Round:  1158 Train Loss: -1.906
centeral clustering:
Round:  1159 User: 2 Train Loss: -1.907
Round:  1159 User: 17 Train Loss: -1.907
Round:  1159 User: 30 Train Loss: -1.899
Round:  1159 User: 32 Train Loss: -1.912
count 4
Round:  1159 Train Loss: -1.906
centeral clustering:
Global  NMI = 0.5389 ARI = 0.4129 F = 0.4760 ACC = 0.6118
Global  NMI = 0.5343 ARI = 0.4084 F = 0.4718 ACC = 0.6100
Round:  1160 User: 0 Train Loss: -1.899
Round:  1160 User: 11 Train Loss: -1.909
Round:  1160 User: 19 Train Loss: -1.901
Round:  1160 User: 27 Train Loss: -1.900
count 4
Round:  1160 Train Loss: -1.902
centeral clustering:
Round:  1161 User: 6 Train Loss: -1.897
Round:  1161 User: 19 Train Loss: -1.909
Round:  1161 User: 26 Train Loss: -1.904
Round:  1161 User: 33 Train Loss: -1.907
count 4
Round:  1161 Train Loss: -1.904
centeral clustering:
Round:  1162 User: 8 Train Loss: -1.909
Round:  1162 User: 9 Train Loss: -1.905
Round:  1162 User: 14 Train Loss: -1.906
Round:  1162 User: 38 Train Loss: -1.901
count 4
Round:  1162 Train Loss: -1.905
centeral clustering:
Round:  1163 User: 3 Train Loss: -1.896
Round:  1163 User: 7 Train Loss: -1.908
Round:  1163 User: 18 Train Loss: -1.894
Round:  1163 User: 26 Train Loss: -1.903
count 4
Round:  1163 Train Loss: -1.900
centeral clustering:
Round:  1164 User: 6 Train Loss: -1.900
Round:  1164 User: 8 Train Loss: -1.901
Round:  1164 User: 21 Train Loss: -1.901
Round:  1164 User: 32 Train Loss: -1.907
count 4
Round:  1164 Train Loss: -1.902
centeral clustering:
Global  NMI = 0.5226 ARI = 0.3816 F = 0.4478 ACC = 0.5843
Round:  1165 User: 1 Train Loss: -1.904
Round:  1165 User: 7 Train Loss: -1.904
Round:  1165 User: 10 Train Loss: -1.906
Round:  1165 User: 14 Train Loss: -1.906
count 4
Round:  1165 Train Loss: -1.905
centeral clustering:
Round:  1166 User: 8 Train Loss: -1.897
Round:  1166 User: 16 Train Loss: -1.902
Round:  1166 User: 27 Train Loss: -1.908
Round:  1166 User: 35 Train Loss: -1.891
count 4
Round:  1166 Train Loss: -1.900
centeral clustering:
Round:  1167 User: 7 Train Loss: -1.899
Round:  1167 User: 18 Train Loss: -1.904
Round:  1167 User: 19 Train Loss: -1.895
Round:  1167 User: 38 Train Loss: -1.908
count 4
Round:  1167 Train Loss: -1.902
centeral clustering:
Round:  1168 User: 1 Train Loss: -1.898
Round:  1168 User: 16 Train Loss: -1.906
Round:  1168 User: 18 Train Loss: -1.902
Round:  1168 User: 19 Train Loss: -1.894
count 4
Round:  1168 Train Loss: -1.900
centeral clustering:
Round:  1169 User: 16 Train Loss: -1.906
Round:  1169 User: 18 Train Loss: -1.909
Round:  1169 User: 23 Train Loss: -1.904
Round:  1169 User: 24 Train Loss: -1.898
count 4
Round:  1169 Train Loss: -1.904
centeral clustering:
Global  NMI = 0.5432 ARI = 0.4158 F = 0.4782 ACC = 0.5977
Round:  1170 User: 2 Train Loss: -1.902
Round:  1170 User: 5 Train Loss: -1.907
Round:  1170 User: 11 Train Loss: -1.911
Round:  1170 User: 12 Train Loss: -1.906
count 4
Round:  1170 Train Loss: -1.907
centeral clustering:
Round:  1171 User: 9 Train Loss: -1.914
Round:  1171 User: 21 Train Loss: -1.907
Round:  1171 User: 24 Train Loss: -1.909
Round:  1171 User: 31 Train Loss: -1.904
count 4
Round:  1171 Train Loss: -1.909
centeral clustering:
Round:  1172 User: 10 Train Loss: -1.912
Round:  1172 User: 13 Train Loss: -1.900
Round:  1172 User: 33 Train Loss: -1.912
Round:  1172 User: 38 Train Loss: -1.907
count 4
Round:  1172 Train Loss: -1.908
centeral clustering:
Round:  1173 User: 17 Train Loss: -1.907
Round:  1173 User: 18 Train Loss: -1.910
Round:  1173 User: 34 Train Loss: -1.900
Round:  1173 User: 37 Train Loss: -1.908
count 4
Round:  1173 Train Loss: -1.906
centeral clustering:
Round:  1174 User: 0 Train Loss: -1.903
Round:  1174 User: 9 Train Loss: -1.920
Round:  1174 User: 27 Train Loss: -1.909
Round:  1174 User: 32 Train Loss: -1.908
count 4
Round:  1174 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5478 ARI = 0.4282 F = 0.4894 ACC = 0.6205
Round:  1175 User: 4 Train Loss: -1.901
Round:  1175 User: 25 Train Loss: -1.901
Round:  1175 User: 26 Train Loss: -1.912
Round:  1175 User: 34 Train Loss: -1.904
count 4
Round:  1175 Train Loss: -1.904
centeral clustering:
Round:  1176 User: 9 Train Loss: -1.915
Round:  1176 User: 12 Train Loss: -1.912
Round:  1176 User: 29 Train Loss: -1.912
Round:  1176 User: 32 Train Loss: -1.917
count 4
Round:  1176 Train Loss: -1.914
centeral clustering:
Round:  1177 User: 1 Train Loss: -1.908
Round:  1177 User: 26 Train Loss: -1.909
Round:  1177 User: 32 Train Loss: -1.917
Round:  1177 User: 33 Train Loss: -1.908
count 4
Round:  1177 Train Loss: -1.910
centeral clustering:
Round:  1178 User: 25 Train Loss: -1.903
Round:  1178 User: 33 Train Loss: -1.904
Round:  1178 User: 36 Train Loss: -1.908
Round:  1178 User: 39 Train Loss: -1.912
count 4
Round:  1178 Train Loss: -1.907
centeral clustering:
Round:  1179 User: 3 Train Loss: -1.909
Round:  1179 User: 6 Train Loss: -1.903
Round:  1179 User: 21 Train Loss: -1.908
Round:  1179 User: 39 Train Loss: -1.909
count 4
Round:  1179 Train Loss: -1.907
centeral clustering:
Global  NMI = 0.5347 ARI = 0.4131 F = 0.4763 ACC = 0.5854
Global  NMI = 0.5328 ARI = 0.4034 F = 0.4705 ACC = 0.5308
Round:  1180 User: 8 Train Loss: -1.909
Round:  1180 User: 10 Train Loss: -1.912
Round:  1180 User: 14 Train Loss: -1.909
Round:  1180 User: 39 Train Loss: -1.903
count 4
Round:  1180 Train Loss: -1.908
centeral clustering:
Round:  1181 User: 6 Train Loss: -1.911
Round:  1181 User: 11 Train Loss: -1.907
Round:  1181 User: 25 Train Loss: -1.899
Round:  1181 User: 38 Train Loss: -1.910
count 4
Round:  1181 Train Loss: -1.907
centeral clustering:
Round:  1182 User: 20 Train Loss: -1.912
Round:  1182 User: 21 Train Loss: -1.902
Round:  1182 User: 26 Train Loss: -1.910
Round:  1182 User: 39 Train Loss: -1.894
count 4
Round:  1182 Train Loss: -1.904
centeral clustering:
Round:  1183 User: 4 Train Loss: -1.899
Round:  1183 User: 13 Train Loss: -1.897
Round:  1183 User: 17 Train Loss: -1.906
Round:  1183 User: 36 Train Loss: -1.904
count 4
Round:  1183 Train Loss: -1.902
centeral clustering:
Round:  1184 User: 1 Train Loss: -1.900
Round:  1184 User: 13 Train Loss: -1.905
Round:  1184 User: 16 Train Loss: -1.906
Round:  1184 User: 30 Train Loss: -1.905
count 4
Round:  1184 Train Loss: -1.904
centeral clustering:
Global  NMI = 0.5301 ARI = 0.4044 F = 0.4691 ACC = 0.5814
Round:  1185 User: 15 Train Loss: -1.904
Round:  1185 User: 19 Train Loss: -1.909
Round:  1185 User: 21 Train Loss: -1.901
Round:  1185 User: 23 Train Loss: -1.907
count 4
Round:  1185 Train Loss: -1.905
centeral clustering:
Round:  1186 User: 25 Train Loss: -1.902
Round:  1186 User: 27 Train Loss: -1.914
Round:  1186 User: 28 Train Loss: -1.911
Round:  1186 User: 34 Train Loss: -1.914
count 4
Round:  1186 Train Loss: -1.910
centeral clustering:
Round:  1187 User: 14 Train Loss: -1.909
Round:  1187 User: 24 Train Loss: -1.912
Round:  1187 User: 27 Train Loss: -1.913
Round:  1187 User: 31 Train Loss: -1.905
count 4
Round:  1187 Train Loss: -1.910
centeral clustering:
Round:  1188 User: 9 Train Loss: -1.911
Round:  1188 User: 33 Train Loss: -1.909
Round:  1188 User: 34 Train Loss: -1.906
Round:  1188 User: 38 Train Loss: -1.911
count 4
Round:  1188 Train Loss: -1.909
centeral clustering:
Round:  1189 User: 4 Train Loss: -1.903
Round:  1189 User: 5 Train Loss: -1.907
Round:  1189 User: 24 Train Loss: -1.910
Round:  1189 User: 28 Train Loss: -1.909
count 4
Round:  1189 Train Loss: -1.907
centeral clustering:
Global  NMI = 0.5324 ARI = 0.4010 F = 0.4650 ACC = 0.5911
Round:  1190 User: 8 Train Loss: -1.913
Round:  1190 User: 18 Train Loss: -1.910
Round:  1190 User: 28 Train Loss: -1.914
Round:  1190 User: 37 Train Loss: -1.916
count 4
Round:  1190 Train Loss: -1.913
centeral clustering:
Round:  1191 User: 10 Train Loss: -1.918
Round:  1191 User: 25 Train Loss: -1.912
Round:  1191 User: 30 Train Loss: -1.909
Round:  1191 User: 32 Train Loss: -1.917
count 4
Round:  1191 Train Loss: -1.914
centeral clustering:
Round:  1192 User: 11 Train Loss: -1.913
Round:  1192 User: 12 Train Loss: -1.913
Round:  1192 User: 19 Train Loss: -1.906
Round:  1192 User: 24 Train Loss: -1.914
count 4
Round:  1192 Train Loss: -1.911
centeral clustering:
Round:  1193 User: 14 Train Loss: -1.908
Round:  1193 User: 18 Train Loss: -1.908
Round:  1193 User: 24 Train Loss: -1.917
Round:  1193 User: 28 Train Loss: -1.910
count 4
Round:  1193 Train Loss: -1.911
centeral clustering:
Round:  1194 User: 12 Train Loss: -1.916
Round:  1194 User: 18 Train Loss: -1.909
Round:  1194 User: 20 Train Loss: -1.909
Round:  1194 User: 31 Train Loss: -1.903
count 4
Round:  1194 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5431 ARI = 0.4135 F = 0.4766 ACC = 0.6102
Round:  1195 User: 7 Train Loss: -1.911
Round:  1195 User: 14 Train Loss: -1.910
Round:  1195 User: 19 Train Loss: -1.910
Round:  1195 User: 24 Train Loss: -1.916
count 4
Round:  1195 Train Loss: -1.912
centeral clustering:
Round:  1196 User: 6 Train Loss: -1.904
Round:  1196 User: 8 Train Loss: -1.908
Round:  1196 User: 31 Train Loss: -1.912
Round:  1196 User: 39 Train Loss: -1.909
count 4
Round:  1196 Train Loss: -1.908
centeral clustering:
Round:  1197 User: 5 Train Loss: -1.906
Round:  1197 User: 17 Train Loss: -1.910
Round:  1197 User: 31 Train Loss: -1.913
Round:  1197 User: 36 Train Loss: -1.910
count 4
Round:  1197 Train Loss: -1.910
centeral clustering:
Round:  1198 User: 2 Train Loss: -1.917
Round:  1198 User: 11 Train Loss: -1.914
Round:  1198 User: 20 Train Loss: -1.905
Round:  1198 User: 39 Train Loss: -1.915
count 4
Round:  1198 Train Loss: -1.913
centeral clustering:
Round:  1199 User: 7 Train Loss: -1.912
Round:  1199 User: 11 Train Loss: -1.909
Round:  1199 User: 12 Train Loss: -1.916
Round:  1199 User: 16 Train Loss: -1.912
count 4
Round:  1199 Train Loss: -1.912
centeral clustering:
Global  NMI = 0.5395 ARI = 0.4098 F = 0.4736 ACC = 0.5898
Global  NMI = 0.5410 ARI = 0.4155 F = 0.4792 ACC = 0.5951
Round:  1200 User: 6 Train Loss: -1.908
Round:  1200 User: 21 Train Loss: -1.909
Round:  1200 User: 23 Train Loss: -1.911
Round:  1200 User: 24 Train Loss: -1.917
count 4
Round:  1200 Train Loss: -1.911
centeral clustering:
Round:  1201 User: 16 Train Loss: -1.909
Round:  1201 User: 26 Train Loss: -1.909
Round:  1201 User: 31 Train Loss: -1.916
Round:  1201 User: 34 Train Loss: -1.909
count 4
Round:  1201 Train Loss: -1.911
centeral clustering:
Round:  1202 User: 13 Train Loss: -1.909
Round:  1202 User: 14 Train Loss: -1.909
Round:  1202 User: 18 Train Loss: -1.918
Round:  1202 User: 30 Train Loss: -1.911
count 4
Round:  1202 Train Loss: -1.911
centeral clustering:
Round:  1203 User: 14 Train Loss: -1.910
Round:  1203 User: 21 Train Loss: -1.909
Round:  1203 User: 25 Train Loss: -1.910
Round:  1203 User: 34 Train Loss: -1.906
count 4
Round:  1203 Train Loss: -1.909
centeral clustering:
Round:  1204 User: 1 Train Loss: -1.909
Round:  1204 User: 2 Train Loss: -1.913
Round:  1204 User: 11 Train Loss: -1.912
Round:  1204 User: 39 Train Loss: -1.908
count 4
Round:  1204 Train Loss: -1.911
centeral clustering:
Global  NMI = 0.5393 ARI = 0.4133 F = 0.4762 ACC = 0.6089
Round:  1205 User: 13 Train Loss: -1.901
Round:  1205 User: 18 Train Loss: -1.909
Round:  1205 User: 30 Train Loss: -1.905
Round:  1205 User: 39 Train Loss: -1.907
count 4
Round:  1205 Train Loss: -1.905
centeral clustering:
Round:  1206 User: 6 Train Loss: -1.915
Round:  1206 User: 13 Train Loss: -1.905
Round:  1206 User: 19 Train Loss: -1.909
Round:  1206 User: 36 Train Loss: -1.907
count 4
Round:  1206 Train Loss: -1.909
centeral clustering:
Round:  1207 User: 9 Train Loss: -1.910
Round:  1207 User: 17 Train Loss: -1.916
Round:  1207 User: 35 Train Loss: -1.901
Round:  1207 User: 38 Train Loss: -1.908
count 4
Round:  1207 Train Loss: -1.909
centeral clustering:
Round:  1208 User: 9 Train Loss: -1.914
Round:  1208 User: 23 Train Loss: -1.910
Round:  1208 User: 27 Train Loss: -1.908
Round:  1208 User: 36 Train Loss: -1.913
count 4
Round:  1208 Train Loss: -1.911
centeral clustering:
Round:  1209 User: 7 Train Loss: -1.914
Round:  1209 User: 9 Train Loss: -1.921
Round:  1209 User: 35 Train Loss: -1.906
Round:  1209 User: 39 Train Loss: -1.911
count 4
Round:  1209 Train Loss: -1.913
centeral clustering:
Global  NMI = 0.5510 ARI = 0.4208 F = 0.4839 ACC = 0.6160
Round:  1210 User: 0 Train Loss: -1.903
Round:  1210 User: 5 Train Loss: -1.910
Round:  1210 User: 11 Train Loss: -1.909
Round:  1210 User: 35 Train Loss: -1.900
count 4
Round:  1210 Train Loss: -1.906
centeral clustering:
Round:  1211 User: 4 Train Loss: -1.906
Round:  1211 User: 5 Train Loss: -1.913
Round:  1211 User: 27 Train Loss: -1.907
Round:  1211 User: 32 Train Loss: -1.908
count 4
Round:  1211 Train Loss: -1.908
centeral clustering:
Round:  1212 User: 8 Train Loss: -1.908
Round:  1212 User: 25 Train Loss: -1.904
Round:  1212 User: 34 Train Loss: -1.910
Round:  1212 User: 37 Train Loss: -1.907
count 4
Round:  1212 Train Loss: -1.907
centeral clustering:
Round:  1213 User: 5 Train Loss: -1.906
Round:  1213 User: 15 Train Loss: -1.906
Round:  1213 User: 34 Train Loss: -1.907
Round:  1213 User: 36 Train Loss: -1.912
count 4
Round:  1213 Train Loss: -1.908
centeral clustering:
Round:  1214 User: 7 Train Loss: -1.913
Round:  1214 User: 8 Train Loss: -1.913
Round:  1214 User: 16 Train Loss: -1.910
Round:  1214 User: 23 Train Loss: -1.894
count 4
Round:  1214 Train Loss: -1.908
centeral clustering:
Global  NMI = 0.5583 ARI = 0.4326 F = 0.4940 ACC = 0.6280
Round:  1215 User: 2 Train Loss: -1.906
Round:  1215 User: 3 Train Loss: -1.907
Round:  1215 User: 6 Train Loss: -1.908
Round:  1215 User: 18 Train Loss: -1.900
count 4
Round:  1215 Train Loss: -1.905
centeral clustering:
Round:  1216 User: 3 Train Loss: -1.908
Round:  1216 User: 4 Train Loss: -1.907
Round:  1216 User: 20 Train Loss: -1.905
Round:  1216 User: 36 Train Loss: -1.915
count 4
Round:  1216 Train Loss: -1.909
centeral clustering:
Round:  1217 User: 0 Train Loss: -1.907
Round:  1217 User: 3 Train Loss: -1.910
Round:  1217 User: 8 Train Loss: -1.917
Round:  1217 User: 36 Train Loss: -1.916
count 4
Round:  1217 Train Loss: -1.912
centeral clustering:
Round:  1218 User: 10 Train Loss: -1.916
Round:  1218 User: 21 Train Loss: -1.905
Round:  1218 User: 23 Train Loss: -1.913
Round:  1218 User: 32 Train Loss: -1.912
count 4
Round:  1218 Train Loss: -1.912
centeral clustering:
Round:  1219 User: 0 Train Loss: -1.904
Round:  1219 User: 6 Train Loss: -1.913
Round:  1219 User: 8 Train Loss: -1.902
Round:  1219 User: 11 Train Loss: -1.916
count 4
Round:  1219 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5593 ARI = 0.4312 F = 0.4929 ACC = 0.6260
Global  NMI = 0.5557 ARI = 0.4276 F = 0.4898 ACC = 0.6246
Round:  1220 User: 1 Train Loss: -1.909
Round:  1220 User: 2 Train Loss: -1.908
Round:  1220 User: 4 Train Loss: -1.913
Round:  1220 User: 9 Train Loss: -1.920
count 4
Round:  1220 Train Loss: -1.912
centeral clustering:
Round:  1221 User: 4 Train Loss: -1.916
Round:  1221 User: 6 Train Loss: -1.914
Round:  1221 User: 18 Train Loss: -1.916
Round:  1221 User: 39 Train Loss: -1.912
count 4
Round:  1221 Train Loss: -1.915
centeral clustering:
Round:  1222 User: 3 Train Loss: -1.909
Round:  1222 User: 12 Train Loss: -1.912
Round:  1222 User: 23 Train Loss: -1.912
Round:  1222 User: 32 Train Loss: -1.913
count 4
Round:  1222 Train Loss: -1.912
centeral clustering:
Round:  1223 User: 10 Train Loss: -1.909
Round:  1223 User: 14 Train Loss: -1.914
Round:  1223 User: 23 Train Loss: -1.908
Round:  1223 User: 37 Train Loss: -1.906
count 4
Round:  1223 Train Loss: -1.909
centeral clustering:
Round:  1224 User: 0 Train Loss: -1.908
Round:  1224 User: 12 Train Loss: -1.913
Round:  1224 User: 21 Train Loss: -1.913
Round:  1224 User: 29 Train Loss: -1.911
count 4
Round:  1224 Train Loss: -1.911
centeral clustering:
Global  NMI = 0.5688 ARI = 0.4470 F = 0.5070 ACC = 0.6372
Round:  1225 User: 22 Train Loss: -1.905
Round:  1225 User: 25 Train Loss: -1.912
Round:  1225 User: 37 Train Loss: -1.909
Round:  1225 User: 38 Train Loss: -1.909
count 4
Round:  1225 Train Loss: -1.909
centeral clustering:
Round:  1226 User: 0 Train Loss: -1.907
Round:  1226 User: 5 Train Loss: -1.909
Round:  1226 User: 8 Train Loss: -1.906
Round:  1226 User: 18 Train Loss: -1.911
count 4
Round:  1226 Train Loss: -1.908
centeral clustering:
Round:  1227 User: 9 Train Loss: -1.909
Round:  1227 User: 15 Train Loss: -1.904
Round:  1227 User: 22 Train Loss: -1.902
Round:  1227 User: 39 Train Loss: -1.915
count 4
Round:  1227 Train Loss: -1.908
centeral clustering:
Round:  1228 User: 0 Train Loss: -1.903
Round:  1228 User: 16 Train Loss: -1.907
Round:  1228 User: 20 Train Loss: -1.907
Round:  1228 User: 29 Train Loss: -1.914
count 4
Round:  1228 Train Loss: -1.908
centeral clustering:
Round:  1229 User: 5 Train Loss: -1.909
Round:  1229 User: 8 Train Loss: -1.907
Round:  1229 User: 22 Train Loss: -1.909
Round:  1229 User: 24 Train Loss: -1.914
count 4
Round:  1229 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5655 ARI = 0.4460 F = 0.5059 ACC = 0.6388
Round:  1230 User: 6 Train Loss: -1.894
Round:  1230 User: 8 Train Loss: -1.910
Round:  1230 User: 15 Train Loss: -1.903
Round:  1230 User: 38 Train Loss: -1.910
count 4
Round:  1230 Train Loss: -1.904
centeral clustering:
Round:  1231 User: 5 Train Loss: -1.908
Round:  1231 User: 6 Train Loss: -1.911
Round:  1231 User: 22 Train Loss: -1.904
Round:  1231 User: 32 Train Loss: -1.917
count 4
Round:  1231 Train Loss: -1.910
centeral clustering:
Round:  1232 User: 14 Train Loss: -1.914
Round:  1232 User: 22 Train Loss: -1.903
Round:  1232 User: 36 Train Loss: -1.908
Round:  1232 User: 38 Train Loss: -1.909
count 4
Round:  1232 Train Loss: -1.908
centeral clustering:
Round:  1233 User: 6 Train Loss: -1.902
Round:  1233 User: 11 Train Loss: -1.918
Round:  1233 User: 16 Train Loss: -1.906
Round:  1233 User: 38 Train Loss: -1.907
count 4
Round:  1233 Train Loss: -1.908
centeral clustering:
Round:  1234 User: 1 Train Loss: -1.908
Round:  1234 User: 11 Train Loss: -1.912
Round:  1234 User: 27 Train Loss: -1.908
Round:  1234 User: 29 Train Loss: -1.909
count 4
Round:  1234 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5460 ARI = 0.3948 F = 0.4621 ACC = 0.5567
Round:  1235 User: 10 Train Loss: -1.908
Round:  1235 User: 15 Train Loss: -1.908
Round:  1235 User: 34 Train Loss: -1.915
Round:  1235 User: 38 Train Loss: -1.912
count 4
Round:  1235 Train Loss: -1.911
centeral clustering:
Round:  1236 User: 2 Train Loss: -1.913
Round:  1236 User: 29 Train Loss: -1.913
Round:  1236 User: 35 Train Loss: -1.912
Round:  1236 User: 37 Train Loss: -1.909
count 4
Round:  1236 Train Loss: -1.912
centeral clustering:
Round:  1237 User: 4 Train Loss: -1.907
Round:  1237 User: 9 Train Loss: -1.916
Round:  1237 User: 10 Train Loss: -1.908
Round:  1237 User: 19 Train Loss: -1.906
count 4
Round:  1237 Train Loss: -1.909
centeral clustering:
Round:  1238 User: 14 Train Loss: -1.911
Round:  1238 User: 15 Train Loss: -1.912
Round:  1238 User: 17 Train Loss: -1.914
Round:  1238 User: 36 Train Loss: -1.909
count 4
Round:  1238 Train Loss: -1.911
centeral clustering:
Round:  1239 User: 0 Train Loss: -1.908
Round:  1239 User: 6 Train Loss: -1.909
Round:  1239 User: 14 Train Loss: -1.907
Round:  1239 User: 27 Train Loss: -1.902
count 4
Round:  1239 Train Loss: -1.907
centeral clustering:
Global  NMI = 0.5455 ARI = 0.4112 F = 0.4745 ACC = 0.6027
Global  NMI = 0.5487 ARI = 0.4187 F = 0.4820 ACC = 0.6169
Round:  1240 User: 0 Train Loss: -1.917
Round:  1240 User: 10 Train Loss: -1.904
Round:  1240 User: 13 Train Loss: -1.901
Round:  1240 User: 27 Train Loss: -1.912
count 4
Round:  1240 Train Loss: -1.909
centeral clustering:
Round:  1241 User: 18 Train Loss: -1.911
Round:  1241 User: 25 Train Loss: -1.911
Round:  1241 User: 29 Train Loss: -1.921
Round:  1241 User: 37 Train Loss: -1.915
count 4
Round:  1241 Train Loss: -1.914
centeral clustering:
Round:  1242 User: 8 Train Loss: -1.908
Round:  1242 User: 11 Train Loss: -1.911
Round:  1242 User: 34 Train Loss: -1.901
Round:  1242 User: 35 Train Loss: -1.906
count 4
Round:  1242 Train Loss: -1.907
centeral clustering:
Round:  1243 User: 0 Train Loss: -1.911
Round:  1243 User: 20 Train Loss: -1.908
Round:  1243 User: 30 Train Loss: -1.911
Round:  1243 User: 39 Train Loss: -1.910
count 4
Round:  1243 Train Loss: -1.910
centeral clustering:
Round:  1244 User: 14 Train Loss: -1.913
Round:  1244 User: 17 Train Loss: -1.913
Round:  1244 User: 33 Train Loss: -1.910
Round:  1244 User: 34 Train Loss: -1.911
count 4
Round:  1244 Train Loss: -1.912
centeral clustering:
Global  NMI = 0.5652 ARI = 0.4372 F = 0.4987 ACC = 0.6328
Round:  1245 User: 12 Train Loss: -1.921
Round:  1245 User: 17 Train Loss: -1.915
Round:  1245 User: 19 Train Loss: -1.910
Round:  1245 User: 38 Train Loss: -1.904
count 4
Round:  1245 Train Loss: -1.913
centeral clustering:
Round:  1246 User: 6 Train Loss: -1.905
Round:  1246 User: 13 Train Loss: -1.911
Round:  1246 User: 15 Train Loss: -1.908
Round:  1246 User: 29 Train Loss: -1.908
count 4
Round:  1246 Train Loss: -1.908
centeral clustering:
Round:  1247 User: 20 Train Loss: -1.915
Round:  1247 User: 25 Train Loss: -1.908
Round:  1247 User: 30 Train Loss: -1.908
Round:  1247 User: 36 Train Loss: -1.909
count 4
Round:  1247 Train Loss: -1.910
centeral clustering:
Round:  1248 User: 0 Train Loss: -1.912
Round:  1248 User: 13 Train Loss: -1.907
Round:  1248 User: 24 Train Loss: -1.915
Round:  1248 User: 39 Train Loss: -1.909
count 4
Round:  1248 Train Loss: -1.911
centeral clustering:
Round:  1249 User: 17 Train Loss: -1.919
Round:  1249 User: 30 Train Loss: -1.914
Round:  1249 User: 33 Train Loss: -1.908
Round:  1249 User: 36 Train Loss: -1.917
count 4
Round:  1249 Train Loss: -1.915
centeral clustering:
Global  NMI = 0.5612 ARI = 0.4357 F = 0.4966 ACC = 0.6282
Round:  1250 User: 13 Train Loss: -1.906
Round:  1250 User: 19 Train Loss: -1.908
Round:  1250 User: 25 Train Loss: -1.911
Round:  1250 User: 38 Train Loss: -1.913
count 4
Round:  1250 Train Loss: -1.909
centeral clustering:
Round:  1251 User: 4 Train Loss: -1.915
Round:  1251 User: 6 Train Loss: -1.914
Round:  1251 User: 20 Train Loss: -1.912
Round:  1251 User: 36 Train Loss: -1.914
count 4
Round:  1251 Train Loss: -1.914
centeral clustering:
Round:  1252 User: 3 Train Loss: -1.907
Round:  1252 User: 6 Train Loss: -1.916
Round:  1252 User: 12 Train Loss: -1.909
Round:  1252 User: 26 Train Loss: -1.907
count 4
Round:  1252 Train Loss: -1.910
centeral clustering:
Round:  1253 User: 18 Train Loss: -1.910
Round:  1253 User: 27 Train Loss: -1.906
Round:  1253 User: 28 Train Loss: -1.903
Round:  1253 User: 32 Train Loss: -1.911
count 4
Round:  1253 Train Loss: -1.908
centeral clustering:
Round:  1254 User: 3 Train Loss: -1.904
Round:  1254 User: 29 Train Loss: -1.911
Round:  1254 User: 35 Train Loss: -1.906
Round:  1254 User: 38 Train Loss: -1.910
count 4
Round:  1254 Train Loss: -1.908
centeral clustering:
Global  NMI = 0.5599 ARI = 0.4370 F = 0.4973 ACC = 0.6267
Round:  1255 User: 15 Train Loss: -1.907
Round:  1255 User: 25 Train Loss: -1.915
Round:  1255 User: 26 Train Loss: -1.911
Round:  1255 User: 39 Train Loss: -1.917
count 4
Round:  1255 Train Loss: -1.913
centeral clustering:
Round:  1256 User: 7 Train Loss: -1.910
Round:  1256 User: 13 Train Loss: -1.910
Round:  1256 User: 38 Train Loss: -1.919
Round:  1256 User: 39 Train Loss: -1.917
count 4
Round:  1256 Train Loss: -1.914
centeral clustering:
Round:  1257 User: 4 Train Loss: -1.915
Round:  1257 User: 23 Train Loss: -1.908
Round:  1257 User: 30 Train Loss: -1.907
Round:  1257 User: 38 Train Loss: -1.920
count 4
Round:  1257 Train Loss: -1.912
centeral clustering:
Round:  1258 User: 5 Train Loss: -1.910
Round:  1258 User: 16 Train Loss: -1.908
Round:  1258 User: 21 Train Loss: -1.905
Round:  1258 User: 29 Train Loss: -1.911
count 4
Round:  1258 Train Loss: -1.908
centeral clustering:
Round:  1259 User: 4 Train Loss: -1.904
Round:  1259 User: 7 Train Loss: -1.912
Round:  1259 User: 27 Train Loss: -1.914
Round:  1259 User: 31 Train Loss: -1.904
count 4
Round:  1259 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5497 ARI = 0.4304 F = 0.4913 ACC = 0.6202
Global  NMI = 0.5526 ARI = 0.4358 F = 0.4961 ACC = 0.6243
Round:  1260 User: 17 Train Loss: -1.902
Round:  1260 User: 19 Train Loss: -1.908
Round:  1260 User: 35 Train Loss: -1.911
Round:  1260 User: 37 Train Loss: -1.910
count 4
Round:  1260 Train Loss: -1.908
centeral clustering:
Round:  1261 User: 5 Train Loss: -1.913
Round:  1261 User: 6 Train Loss: -1.909
Round:  1261 User: 20 Train Loss: -1.917
Round:  1261 User: 28 Train Loss: -1.907
count 4
Round:  1261 Train Loss: -1.912
centeral clustering:
Round:  1262 User: 15 Train Loss: -1.911
Round:  1262 User: 20 Train Loss: -1.912
Round:  1262 User: 26 Train Loss: -1.909
Round:  1262 User: 36 Train Loss: -1.918
count 4
Round:  1262 Train Loss: -1.913
centeral clustering:
Round:  1263 User: 17 Train Loss: -1.916
Round:  1263 User: 24 Train Loss: -1.914
Round:  1263 User: 31 Train Loss: -1.914
Round:  1263 User: 37 Train Loss: -1.912
count 4
Round:  1263 Train Loss: -1.914
centeral clustering:
Round:  1264 User: 5 Train Loss: -1.920
Round:  1264 User: 7 Train Loss: -1.912
Round:  1264 User: 8 Train Loss: -1.904
Round:  1264 User: 28 Train Loss: -1.903
count 4
Round:  1264 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5484 ARI = 0.4245 F = 0.4864 ACC = 0.6157
Round:  1265 User: 3 Train Loss: -1.916
Round:  1265 User: 7 Train Loss: -1.908
Round:  1265 User: 25 Train Loss: -1.914
Round:  1265 User: 28 Train Loss: -1.908
count 4
Round:  1265 Train Loss: -1.911
centeral clustering:
Round:  1266 User: 8 Train Loss: -1.912
Round:  1266 User: 13 Train Loss: -1.911
Round:  1266 User: 15 Train Loss: -1.911
Round:  1266 User: 35 Train Loss: -1.909
count 4
Round:  1266 Train Loss: -1.911
centeral clustering:
Round:  1267 User: 18 Train Loss: -1.914
Round:  1267 User: 19 Train Loss: -1.913
Round:  1267 User: 27 Train Loss: -1.915
Round:  1267 User: 33 Train Loss: -1.915
count 4
Round:  1267 Train Loss: -1.914
centeral clustering:
Round:  1268 User: 16 Train Loss: -1.909
Round:  1268 User: 18 Train Loss: -1.906
Round:  1268 User: 23 Train Loss: -1.912
Round:  1268 User: 25 Train Loss: -1.912
count 4
Round:  1268 Train Loss: -1.910
centeral clustering:
Round:  1269 User: 7 Train Loss: -1.898
Round:  1269 User: 11 Train Loss: -1.916
Round:  1269 User: 20 Train Loss: -1.908
Round:  1269 User: 35 Train Loss: -1.900
count 4
Round:  1269 Train Loss: -1.905
centeral clustering:
Global  NMI = 0.5560 ARI = 0.4316 F = 0.4929 ACC = 0.6264
Round:  1270 User: 9 Train Loss: -1.916
Round:  1270 User: 20 Train Loss: -1.908
Round:  1270 User: 23 Train Loss: -1.915
Round:  1270 User: 32 Train Loss: -1.913
count 4
Round:  1270 Train Loss: -1.913
centeral clustering:
Round:  1271 User: 0 Train Loss: -1.906
Round:  1271 User: 9 Train Loss: -1.914
Round:  1271 User: 16 Train Loss: -1.916
Round:  1271 User: 30 Train Loss: -1.909
count 4
Round:  1271 Train Loss: -1.911
centeral clustering:
Round:  1272 User: 7 Train Loss: -1.916
Round:  1272 User: 9 Train Loss: -1.913
Round:  1272 User: 23 Train Loss: -1.908
Round:  1272 User: 26 Train Loss: -1.909
count 4
Round:  1272 Train Loss: -1.911
centeral clustering:
Round:  1273 User: 28 Train Loss: -1.911
Round:  1273 User: 29 Train Loss: -1.909
Round:  1273 User: 33 Train Loss: -1.906
Round:  1273 User: 39 Train Loss: -1.908
count 4
Round:  1273 Train Loss: -1.909
centeral clustering:
Round:  1274 User: 0 Train Loss: -1.901
Round:  1274 User: 1 Train Loss: -1.905
Round:  1274 User: 15 Train Loss: -1.913
Round:  1274 User: 36 Train Loss: -1.904
count 4
Round:  1274 Train Loss: -1.906
centeral clustering:
Global  NMI = 0.5507 ARI = 0.4265 F = 0.4882 ACC = 0.6172
Round:  1275 User: 24 Train Loss: -1.915
Round:  1275 User: 25 Train Loss: -1.908
Round:  1275 User: 35 Train Loss: -1.913
Round:  1275 User: 38 Train Loss: -1.908
count 4
Round:  1275 Train Loss: -1.911
centeral clustering:
Round:  1276 User: 17 Train Loss: -1.915
Round:  1276 User: 32 Train Loss: -1.914
Round:  1276 User: 36 Train Loss: -1.912
Round:  1276 User: 39 Train Loss: -1.915
count 4
Round:  1276 Train Loss: -1.914
centeral clustering:
Round:  1277 User: 0 Train Loss: -1.906
Round:  1277 User: 8 Train Loss: -1.910
Round:  1277 User: 32 Train Loss: -1.911
Round:  1277 User: 34 Train Loss: -1.910
count 4
Round:  1277 Train Loss: -1.909
centeral clustering:
Round:  1278 User: 1 Train Loss: -1.913
Round:  1278 User: 7 Train Loss: -1.916
Round:  1278 User: 8 Train Loss: -1.915
Round:  1278 User: 15 Train Loss: -1.913
count 4
Round:  1278 Train Loss: -1.914
centeral clustering:
Round:  1279 User: 21 Train Loss: -1.908
Round:  1279 User: 24 Train Loss: -1.912
Round:  1279 User: 25 Train Loss: -1.908
Round:  1279 User: 36 Train Loss: -1.910
count 4
Round:  1279 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5482 ARI = 0.4245 F = 0.4863 ACC = 0.6143
Global  NMI = 0.5486 ARI = 0.4256 F = 0.4875 ACC = 0.6141
Round:  1280 User: 13 Train Loss: -1.911
Round:  1280 User: 28 Train Loss: -1.915
Round:  1280 User: 32 Train Loss: -1.906
Round:  1280 User: 39 Train Loss: -1.911
count 4
Round:  1280 Train Loss: -1.911
centeral clustering:
Round:  1281 User: 14 Train Loss: -1.904
Round:  1281 User: 24 Train Loss: -1.912
Round:  1281 User: 28 Train Loss: -1.908
Round:  1281 User: 30 Train Loss: -1.918
count 4
Round:  1281 Train Loss: -1.910
centeral clustering:
Round:  1282 User: 6 Train Loss: -1.892
Round:  1282 User: 11 Train Loss: -1.905
Round:  1282 User: 19 Train Loss: -1.915
Round:  1282 User: 39 Train Loss: -1.914
count 4
Round:  1282 Train Loss: -1.906
centeral clustering:
Round:  1283 User: 7 Train Loss: -1.911
Round:  1283 User: 25 Train Loss: -1.912
Round:  1283 User: 34 Train Loss: -1.907
Round:  1283 User: 35 Train Loss: -1.898
count 4
Round:  1283 Train Loss: -1.907
centeral clustering:
Round:  1284 User: 6 Train Loss: -1.916
Round:  1284 User: 30 Train Loss: -1.918
Round:  1284 User: 31 Train Loss: -1.898
Round:  1284 User: 39 Train Loss: -1.914
count 4
Round:  1284 Train Loss: -1.912
centeral clustering:
Global  NMI = 0.5561 ARI = 0.4602 F = 0.5149 ACC = 0.6714
Round:  1285 User: 1 Train Loss: -1.900
Round:  1285 User: 27 Train Loss: -1.901
Round:  1285 User: 28 Train Loss: -1.896
Round:  1285 User: 34 Train Loss: -1.907
count 4
Round:  1285 Train Loss: -1.901
centeral clustering:
Round:  1286 User: 2 Train Loss: -1.907
Round:  1286 User: 13 Train Loss: -1.904
Round:  1286 User: 22 Train Loss: -1.911
Round:  1286 User: 38 Train Loss: -1.905
count 4
Round:  1286 Train Loss: -1.907
centeral clustering:
Round:  1287 User: 7 Train Loss: -1.905
Round:  1287 User: 18 Train Loss: -1.909
Round:  1287 User: 20 Train Loss: -1.910
Round:  1287 User: 35 Train Loss: -1.913
count 4
Round:  1287 Train Loss: -1.909
centeral clustering:
Round:  1288 User: 6 Train Loss: -1.911
Round:  1288 User: 19 Train Loss: -1.910
Round:  1288 User: 23 Train Loss: -1.902
Round:  1288 User: 27 Train Loss: -1.912
count 4
Round:  1288 Train Loss: -1.909
centeral clustering:
Round:  1289 User: 16 Train Loss: -1.903
Round:  1289 User: 21 Train Loss: -1.909
Round:  1289 User: 26 Train Loss: -1.915
Round:  1289 User: 31 Train Loss: -1.910
count 4
Round:  1289 Train Loss: -1.909
centeral clustering:
Global  NMI = 0.5551 ARI = 0.4342 F = 0.4951 ACC = 0.6284
Round:  1290 User: 1 Train Loss: -1.906
Round:  1290 User: 5 Train Loss: -1.908
Round:  1290 User: 33 Train Loss: -1.893
Round:  1290 User: 39 Train Loss: -1.916
count 4
Round:  1290 Train Loss: -1.906
centeral clustering:
Round:  1291 User: 17 Train Loss: -1.914
Round:  1291 User: 20 Train Loss: -1.910
Round:  1291 User: 29 Train Loss: -1.906
Round:  1291 User: 37 Train Loss: -1.912
count 4
Round:  1291 Train Loss: -1.910
centeral clustering:
Round:  1292 User: 11 Train Loss: -1.910
Round:  1292 User: 14 Train Loss: -1.905
Round:  1292 User: 30 Train Loss: -1.906
Round:  1292 User: 32 Train Loss: -1.915
count 4
Round:  1292 Train Loss: -1.909
centeral clustering:
Round:  1293 User: 6 Train Loss: -1.902
Round:  1293 User: 14 Train Loss: -1.917
Round:  1293 User: 17 Train Loss: -1.917
Round:  1293 User: 26 Train Loss: -1.908
count 4
Round:  1293 Train Loss: -1.911
centeral clustering:
Round:  1294 User: 5 Train Loss: -1.905
Round:  1294 User: 19 Train Loss: -1.915
Round:  1294 User: 22 Train Loss: -1.909
Round:  1294 User: 35 Train Loss: -1.909
count 4
Round:  1294 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5651 ARI = 0.4460 F = 0.5052 ACC = 0.6332
Round:  1295 User: 0 Train Loss: -1.904
Round:  1295 User: 18 Train Loss: -1.906
Round:  1295 User: 29 Train Loss: -1.906
Round:  1295 User: 30 Train Loss: -1.913
count 4
Round:  1295 Train Loss: -1.907
centeral clustering:
Round:  1296 User: 1 Train Loss: -1.909
Round:  1296 User: 3 Train Loss: -1.905
Round:  1296 User: 4 Train Loss: -1.912
Round:  1296 User: 34 Train Loss: -1.903
count 4
Round:  1296 Train Loss: -1.907
centeral clustering:
Round:  1297 User: 5 Train Loss: -1.907
Round:  1297 User: 11 Train Loss: -1.913
Round:  1297 User: 17 Train Loss: -1.914
Round:  1297 User: 29 Train Loss: -1.904
count 4
Round:  1297 Train Loss: -1.910
centeral clustering:
Round:  1298 User: 8 Train Loss: -1.909
Round:  1298 User: 9 Train Loss: -1.909
Round:  1298 User: 16 Train Loss: -1.905
Round:  1298 User: 20 Train Loss: -1.917
count 4
Round:  1298 Train Loss: -1.910
centeral clustering:
Round:  1299 User: 6 Train Loss: -1.913
Round:  1299 User: 26 Train Loss: -1.911
Round:  1299 User: 27 Train Loss: -1.913
Round:  1299 User: 31 Train Loss: -1.903
count 4
Round:  1299 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5541 ARI = 0.4367 F = 0.4979 ACC = 0.6183
Global  NMI = 0.5535 ARI = 0.4369 F = 0.4982 ACC = 0.6160
Round:  1300 User: 19 Train Loss: -1.904
Round:  1300 User: 24 Train Loss: -1.907
Round:  1300 User: 30 Train Loss: -1.914
Round:  1300 User: 39 Train Loss: -1.910
count 4
Round:  1300 Train Loss: -1.909
centeral clustering:
Round:  1301 User: 19 Train Loss: -1.912
Round:  1301 User: 24 Train Loss: -1.912
Round:  1301 User: 30 Train Loss: -1.917
Round:  1301 User: 31 Train Loss: -1.906
count 4
Round:  1301 Train Loss: -1.912
centeral clustering:
Round:  1302 User: 7 Train Loss: -1.908
Round:  1302 User: 8 Train Loss: -1.908
Round:  1302 User: 33 Train Loss: -1.906
Round:  1302 User: 35 Train Loss: -1.895
count 4
Round:  1302 Train Loss: -1.904
centeral clustering:
Round:  1303 User: 19 Train Loss: -1.904
Round:  1303 User: 22 Train Loss: -1.906
Round:  1303 User: 24 Train Loss: -1.908
Round:  1303 User: 31 Train Loss: -1.906
count 4
Round:  1303 Train Loss: -1.906
centeral clustering:
Round:  1304 User: 8 Train Loss: -1.910
Round:  1304 User: 11 Train Loss: -1.907
Round:  1304 User: 18 Train Loss: -1.908
Round:  1304 User: 19 Train Loss: -1.907
count 4
Round:  1304 Train Loss: -1.908
centeral clustering:
Global  NMI = 0.5545 ARI = 0.4375 F = 0.4982 ACC = 0.6295
Round:  1305 User: 34 Train Loss: -1.905
Round:  1305 User: 35 Train Loss: -1.912
Round:  1305 User: 36 Train Loss: -1.906
Round:  1305 User: 37 Train Loss: -1.903
count 4
Round:  1305 Train Loss: -1.907
centeral clustering:
Round:  1306 User: 15 Train Loss: -1.911
Round:  1306 User: 18 Train Loss: -1.907
Round:  1306 User: 31 Train Loss: -1.908
Round:  1306 User: 33 Train Loss: -1.904
count 4
Round:  1306 Train Loss: -1.908
centeral clustering:
Round:  1307 User: 1 Train Loss: -1.909
Round:  1307 User: 8 Train Loss: -1.913
Round:  1307 User: 15 Train Loss: -1.910
Round:  1307 User: 34 Train Loss: -1.908
count 4
Round:  1307 Train Loss: -1.910
centeral clustering:
Round:  1308 User: 5 Train Loss: -1.902
Round:  1308 User: 23 Train Loss: -1.910
Round:  1308 User: 33 Train Loss: -1.908
Round:  1308 User: 36 Train Loss: -1.904
count 4
Round:  1308 Train Loss: -1.906
centeral clustering:
Round:  1309 User: 17 Train Loss: -1.915
Round:  1309 User: 25 Train Loss: -1.905
Round:  1309 User: 29 Train Loss: -1.911
Round:  1309 User: 32 Train Loss: -1.907
count 4
Round:  1309 Train Loss: -1.910
centeral clustering:
Global  NMI = 0.5728 ARI = 0.4620 F = 0.5195 ACC = 0.6520
Round:  1310 User: 23 Train Loss: -1.909
Round:  1310 User: 30 Train Loss: -1.912
Round:  1310 User: 33 Train Loss: -1.910
Round:  1310 User: 34 Train Loss: -1.905
count 4
Round:  1310 Train Loss: -1.909
centeral clustering:
Round:  1311 User: 1 Train Loss: -1.903
Round:  1311 User: 5 Train Loss: -1.904
Round:  1311 User: 7 Train Loss: -1.903
Round:  1311 User: 19 Train Loss: -1.901
count 4
Round:  1311 Train Loss: -1.903
centeral clustering:
Round:  1312 User: 0 Train Loss: -1.909
Round:  1312 User: 5 Train Loss: -1.904
Round:  1312 User: 34 Train Loss: -1.906
Round:  1312 User: 36 Train Loss: -1.906
count 4
Round:  1312 Train Loss: -1.906
centeral clustering:
Round:  1313 User: 4 Train Loss: -1.908
Round:  1313 User: 10 Train Loss: -1.902
Round:  1313 User: 20 Train Loss: -1.899
Round:  1313 User: 27 Train Loss: -1.910
count 4
Round:  1313 Train Loss: -1.905
centeral clustering:
Round:  1314 User: 1 Train Loss: -1.903
Round:  1314 User: 26 Train Loss: -1.905
Round:  1314 User: 37 Train Loss: -1.903
Round:  1314 User: 39 Train Loss: -1.913
count 4
Round:  1314 Train Loss: -1.906
centeral clustering:
Global  NMI = 0.5626 ARI = 0.4807 F = 0.5330 ACC = 0.6596
Round:  1315 User: 2 Train Loss: -1.908
Round:  1315 User: 32 Train Loss: -1.917
Round:  1315 User: 33 Train Loss: -1.915
Round:  1315 User: 38 Train Loss: -1.913
count 4
Round:  1315 Train Loss: -1.913
centeral clustering:
Round:  1316 User: 19 Train Loss: -1.913
Round:  1316 User: 28 Train Loss: -1.905
Round:  1316 User: 35 Train Loss: -1.908
Round:  1316 User: 36 Train Loss: -1.900
count 4
Round:  1316 Train Loss: -1.906
centeral clustering:
Round:  1317 User: 0 Train Loss: -1.912
Round:  1317 User: 4 Train Loss: -1.911
Round:  1317 User: 8 Train Loss: -1.904
Round:  1317 User: 14 Train Loss: -1.906
count 4
Round:  1317 Train Loss: -1.908
centeral clustering:
Round:  1318 User: 23 Train Loss: -1.904
Round:  1318 User: 26 Train Loss: -1.902
Round:  1318 User: 29 Train Loss: -1.912
Round:  1318 User: 32 Train Loss: -1.914
count 4
Round:  1318 Train Loss: -1.908
centeral clustering:
Round:  1319 User: 32 Train Loss: -1.909
Round:  1319 User: 33 Train Loss: -1.908
Round:  1319 User: 34 Train Loss: -1.897
Round:  1319 User: 36 Train Loss: -1.917
count 4
Round:  1319 Train Loss: -1.908
centeral clustering:
Global  NMI = 0.5500 ARI = 0.4095 F = 0.4750 ACC = 0.5549
Global  NMI = 0.5615 ARI = 0.4442 F = 0.5041 ACC = 0.6403
Round:  1320 User: 24 Train Loss: -1.907
Round:  1320 User: 26 Train Loss: -1.910
Round:  1320 User: 31 Train Loss: -1.904
Round:  1320 User: 37 Train Loss: -1.912
count 4
Round:  1320 Train Loss: -1.908
centeral clustering:
Round:  1321 User: 0 Train Loss: -1.913
Round:  1321 User: 5 Train Loss: -1.912
Round:  1321 User: 12 Train Loss: -1.909
Round:  1321 User: 35 Train Loss: -1.908
count 4
Round:  1321 Train Loss: -1.910
centeral clustering:
Round:  1322 User: 3 Train Loss: -1.902
Round:  1322 User: 8 Train Loss: -1.907
Round:  1322 User: 17 Train Loss: -1.919
Round:  1322 User: 38 Train Loss: -1.907
count 4
Round:  1322 Train Loss: -1.909
centeral clustering:
Round:  1323 User: 4 Train Loss: -1.906
Round:  1323 User: 8 Train Loss: -1.909