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Clustering Algorithms Implementation

Datasets

All datasets and results can be downloaded here. Please put all datasets to ./datasets/. The output will be save in ./outputs/. The name of datasets are data_<dataset-name>.mat and the name of the outputs are output_<dataset-name>.mat

Compile and Run

USPEC.py is also the only source file. We can run the code by the following commands,

python3 USPEC.py <dataset-name>

For example,

python3 USPEC.py Letters

It will generate an output file output_Letters.mat in ./outputs/.

The code is tested on a Linux system.

Reference

  1. Wu, Lingfei, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, and Charu Aggarwal. "Scalable spectral clustering using random binning features." In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2506-2515. 2018. [PDF]

  2. Huang, Dong, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, and Chee-Keong Kwoh. "Ultra-scalable spectral clustering and ensemble clustering." IEEE Transactions on Knowledge and Data Engineering 32, no. 6 (2019): 1212-1226. [PDF]