ML0101EN-Clus-Hierarchical-Cars.ipynb

{
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   "metadata": {},
   "source": [
    "<center>\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/Module%204/images/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n",
    "\n",
    "# Hierarchical Clustering\n",
    "\n",
    "Estimated time needed: **25** minutes\n",
    "\n",
    "## Objectives\n",
    "\n",
    "After completing this lab you will be able to:\n",
    "\n",
    "*   Use scikit-learn to do Hierarchical clustering\n",
    "*   Create dendograms to visualize the clustering\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Table of contents</h1>\n",
    "\n",
    "<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
    "    <ol>\n",
    "        <li><a href=\"https://#hierarchical_agglomerative\">Hierarchical Clustering - Agglomerative</a></li>\n",
    "            <ol>\n",
    "                <li><a href=\"https://#generating_data\">Generating Random Data</a></li>\n",
    "                <li><a href=\"https://#agglomerative_clustering\">Agglomerative Clustering</a></li>\n",
    "                <li><a href=\"https://#dendrogram\">Dendrogram Associated for the Agglomerative Hierarchical Clustering</a></li>\n",
    "            </ol>            \n",
    "        <li><a href=\"https://#clustering_vehicle_dataset\">Clustering on the Vehicle Dataset</a></li>\n",
    "            <ol>\n",
    "                <li><a href=\"https://#data_cleaning\">Data Cleaning</a></li>\n",
    "                <li><a href=\"https://#clustering_using_scipy\">Clustering Using Scipy</a></li>\n",
    "                <li><a href=\"https://#clustering_using_skl\">Clustering using scikit-learn</a></li>\n",
    "            </ol>\n",
    "    </ol>\n",
    "</div>\n",
    "<br>\n",
    "<hr>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 id=\"hierarchical_agglomerative\">Hierarchical Clustering - Agglomerative</h1>\n",
    "\n",
    "We will be looking at a clustering technique, which is <b>Agglomerative Hierarchical Clustering</b>. Remember that agglomerative is the bottom up approach. <br> <br>\n",
    "In this lab, we will be looking at Agglomerative clustering, which is more popular than Divisive clustering. <br> <br>\n",
    "We will also be using Complete Linkage as the Linkage Criteria. <br> <b> <i> NOTE: You can also try using Average Linkage wherever Complete Linkage would be used to see the difference! </i> </b>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:35: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:597: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:836: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, positive=False):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1097: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1344: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/least_angle.py:1480: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, copy_X=True, positive=False):\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:152: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  precompute=False, eps=np.finfo(np.float).eps,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:320: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=np.finfo(np.float).eps, random_state=None,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/linear_model/randomized_l1.py:580: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  eps=4 * np.finfo(np.float).eps, n_jobs=None,\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/decomposition/online_lda.py:31: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  EPS = np.finfo(np.float).eps\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/feature_extraction/image.py:167: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  dtype=np.int):\n"
     ]
    }
   ],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "from scipy import ndimage \n",
    "from scipy.cluster import hierarchy \n",
    "from scipy.spatial import distance_matrix \n",
    "from matplotlib import pyplot as plt \n",
    "from sklearn import manifold, datasets \n",
    "from sklearn.cluster import AgglomerativeClustering \n",
    "from sklearn.datasets.samples_generator import make_blobs \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<h3 id=\"generating_data\">Generating Random Data</h3>\n",
    "We will be generating a set of data using the <b>make_blobs</b> class. <br> <br>\n",
    "Input these parameters into make_blobs:\n",
    "<ul>\n",
    "    <li> <b>n_samples</b>: The total number of points equally divided among clusters. </li>\n",
    "    <ul> <li> Choose a number from 10-1500 </li> </ul>\n",
    "    <li> <b>centers</b>: The number of centers to generate, or the fixed center locations. </li>\n",
    "    <ul> <li> Choose arrays of x,y coordinates for generating the centers. Have 1-10 centers (ex. centers=[[1,1], [2,5]]) </li> </ul>\n",
    "    <li> <b>cluster_std</b>: The standard deviation of the clusters. The larger the number, the further apart the clusters</li>\n",
    "    <ul> <li> Choose a number between 0.5-1.5 </li> </ul>\n",
    "</ul> <br>\n",
    "Save the result to <b>X1</b> and <b>y1</b>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "X1, y1 = make_blobs(n_samples=50, centers=[[4,4], [-2, -1], [1, 1], [10,4]], cluster_std=0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the scatter plot of the randomly generated data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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     },
     "execution_count": 3,
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     "output_type": "execute_result"
    },
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     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(X1[:, 0], X1[:, 1], marker='o') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<h3 id=\"agglomerative_clustering\">Agglomerative Clustering</h3>\n",
    "\n",
    "We will start by clustering the random data points we just created.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The <b> Agglomerative Clustering </b> class will require two inputs:\n",
    "\n",
    "<ul>\n",
    "    <li> <b>n_clusters</b>: The number of clusters to form as well as the number of centroids to generate. </li>\n",
    "    <ul> <li> Value will be: 4 </li> </ul>\n",
    "    <li> <b>linkage</b>: Which linkage criterion to use. The linkage criterion determines which distance to use between sets of observation. The algorithm will merge the pairs of cluster that minimize this criterion. </li>\n",
    "    <ul> \n",
    "        <li> Value will be: 'complete' </li> \n",
    "        <li> <b>Note</b>: It is recommended you try everything with 'average' as well </li>\n",
    "    </ul>\n",
    "</ul> <br>\n",
    "Save the result to a variable called <b> agglom </b>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "agglom = AgglomerativeClustering(n_clusters = 4, linkage = 'complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fit the model with <b> X2 </b> and <b> y2 </b> from the generated data above.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/cluster/hierarchical.py:472: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  children_ = out[:, :2].astype(np.int)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AgglomerativeClustering(affinity='euclidean', compute_full_tree='auto',\n",
       "            connectivity=None, linkage='complete', memory=None,\n",
       "            n_clusters=4, pooling_func='deprecated')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agglom.fit(X1,y1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the following code to show the clustering! <br>\n",
    "Remember to read the code and comments to gain more understanding on how the plotting works.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAADrCAYAAABXYUzjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAXL0lEQVR4nO3df3SU1Z3H8c+T3+QXDAkQfiUhIFhtCwJd0V3rojVqK+sButYtulaOrVRYaqHHWldoLYft0lKrR+nWluKeY1OPXSoNatvltPVY5JS1zLIqWm0RiL8QJQxJIJkkk5n9I04c0pDMJM8z9z4z79dfJiSZqzl+nst3vvd7nVgsJgBA+uWYXgAAZCsCGAAMIYABwBACGAAMIYABwBACGAAMyUvliysrK2O1tbUeLQUAMlMwGDwei8XG9f98SgFcW1urffv2ubcqAMgCjuM0DfR5ShAAYAgBDJzFli1bVF1draqqKq1fv16cGoXbUipBANkiGAxq1apV2rRpkyZNmqQbb7xRc+bM0ZIlS0wvDRmEHTAwgJ07d0qSli9frmXLlqmkpESNjY2GV4VMQwADAzh27JgkqaysTI7jqLS0tO9zgFsIYGAAEyZMkCS1trYqFoupra2t73OAW6gBA/0Em0LqqJotSXr44Yc1adIktbe3a9GiRYZXhkxDAAMJgk0hLdu6V12RQo2/coXuve9+xXoiuuuuu7R06VLTy0OGIYCBBHsPNasrElU0JpVecI3WfHWtVi6cYXpZyFDUgIEEC+oqVJCXo1xHys/L0YK6CtNLQgZjBwwkmFcTUMMtC7T3ULMW1FVoXk3A9JKQwQhgoJ95NQGCF2lBCQIADCGAAcAQAhgADCGAAcAQAhgADCGAAcAQAhgADCGAAcAQAhgADCGAAcAQAhgADCGAAcAQAhgA3hcK9ejcc99QUdFhBQJHdMMN7yocjnr2egQwALwvP9/Rxo0BHTgwRbfcUqaGhlN66ql2z16PcZQA8L7S0hwtXVoqSaquzlNhoaOZMws8ez0CGAAS7N7dofr6dxQOx1RfP0rTpnkXk5QgACDB/PmF2r9/sjZsCGjXrg5t29bm2WuxAwYA9d6IvX1Xs6YWl+uqiwIqKXEkScXFjmevSQADyHrBppCWbd2rk38ZpeZfTZQ6TqlibK5WrizXTTeVefa6BDCArLf3ULO6IlEV1Z5W9W0HtaZ+llYurPP8dakBA8h6C+oqVJCXo1xHys/L0YK6irS8LjtgAFlvXk1ADbcs0N5DzVpQV5G2W7EJYABQbwinK3jjKEEAgCEEMAAYQgADgCEEMAAYQgADgCEEMHxhy5Ytqq6uVlVVldavX68HH3zwjI9jsZjpJQIpow0N1gsGg1q1apU2bdqkSZMm6cYbb5SkMz6eM2eOlixZYnilvbZs2aJNmzapq6tLX/jCF3TPPffIcbybJwD/YgcM6+3cuVOStHz5ci1btkz5+flnfFxSUqLGxkaTS+wTf1isWrVKmzdv1oYNG7Rjxw7Ty4KlCGBY79ixY5KksrIyOY6jvLy8Mz4uLS3t+xrT+j8sbHo4wD4EMKw3YcIESVJra6tisZi6u7vP+Litra3va0zr/7Cw6eEA+1ADhtWCTSF1VM2WJD388MPqLBitSCTS9/GkSZPU3t6uRYsWmVxmn8SHRWVlpVUPB9iHAIa14jNauyKFGn/lCm367n1qOd2h0Rddp4KygO69737FeiK66667tHTp0kF/VjreGOv/sLDt4QD7EMCwVnxGazQmlV5wjS7+x89pz8HjisakXEdac+dXtHLhjCF/zkBdFG53TfR/WKTycED2ogYMa/Wf0Xr1hycOa2ZrOt4Y6/+wWNfwjI4dO6aNGzfSgnYWoVCPzj33DRUVHVYgcEQ33PCuwuGo6WWlFTtgWGugGa2zqspSntmajjfG4g+L7kg0rQO9/Sw/39HGjQHNnl2ohx5q1ebNLVq8uLjvWvhsQADDav1ntKYyszXYFNLeQ82KFpZL8vaNMVMDvf2stDSnL2yrq/NUWOho5swCz14vFOrRRRe9rSNHIho1ytGnPlWsrVsrVVRkrhBAACMjfVCTjarn1GRJ3r8xZmKgt9/t3t2h+vp3FA7HVF8/StOmeRdJNu64CWBkpMSabN74Gfr0qnV64IEH1NXVxRtjFpk/v1D790/W9u2ntW5dSNu2tWn16tGevFa6d9zJIICRkfrXZO/8ypc174Fvml4W3hdsCmn7rmZNLS7XVRcFVFLS+0ZlcbG7b1gmlh0KC6VIRGpv7x3cNHFiriZONNuHQAAjI1GTtVe8PHTyL6PU/KuJUscpVYzN1cqV5brppjJXXytedsitDOu++1v0zA5Hd989Wk8/HdaePZ26444T2rZtvKuvmQoCGBmLmqyd4uWhotrTqr7toNbUz9LKhXWevFZpaY5q53dr2dY/6ujbFVJOhSqnRzT+pVxJvaUIkwhgAGmV7pa9n/yiWX/+93MUi+RIOVHdfvMpSY6mTs3Vl77kTb05WQQwgLRKR3ko3oK4oK5Cn75qrH7xyn61vFSi0O7xunlloeqqirVuXUiPPHLKszf9kkEAA0g7L8tDiS2I0eOjdMfff1hfumKGfvham0KSzplcrKIib970SxUBDCCjJLYgdrbl6Gu3t6r1hKOc/EI5BT1a//WQZ2/6pYoABuAJUyfPEmvMo8/p0PLPdOjR517/YIiTh2/6pYphPAA8EW8BO3Bgim65pUwNDaf01FPtnr9uvMa8pn6WGm5ZoCVzpwxriFN/XgwPIoCBYep/UzM3M58pfvJsxoz8tJ88m1cT0MqFM/pqzYmBPNzasxcPFEoQwDCkY8ZwJkjnrIfBuPGmnxdHmdkBA8PA5ZuDCzaFtOXpg8oZ36H9+ydrw4aAdu3q0LZtbaaXNiK7d3do1KjDWr26WZdeWjTiBwoBDAwDl2+eXbwN7N8eOaLrv/miXn2v1bNZD+kWHx7k1gOFAIbVbKuzxnd2iTOGbbuZ2bR4G1jkdJ7eebJKSy9r0aZNLVa0fQ1H/Hf+01++pz17wioocFx7oFADhrVsq7OamDHsR/E2MKfutAKrD43ojS/TEn/n3U2livy+Rs3vRjXWpT5iAhjWSqyzVlRUaMWKFWpsbDQWwMwYTk4mTaJL/J0X1JzSnY9EkroINlkEMKxlW52VGcPJy5RJdF4PDqIGjGHzsj4bbArp9Y58SfbUWd3qJ4V/eP07ZweMYfGyPhuvu7U5vcdFN9z7ff3N+dOtqLNmys4OyfPyd84OGMPiZR9svO6WXzVTFZ+4VY/8+Adau3atkTqrbV0YyCzsgDEsXtZnE+tulQuuVcPWbxnZddrWheF3Nl4Lb1r2/ptjROK1WC/qs/NqArq24IBC2z6v4z/4nBp//D0jO09Ou7nL1HAemxHASFmwKaSOqtmSevtgGxoaXK3PBoNBfXv9Hbpz7e2673vf1YYNG7Rjx46+P09XWcC2Lgy/Mzmcx1aUIJCSDxrTCzX+yhW69777FeuJuFqfHaz/N11lgf5dGJWVlca7MDKBLcN5bMEOGClJbEwvveAarWt4RseOHdPGjRvlOO6c8x9s55mOskD8IfN8QheG27v8bBI/yhtsCrk+S8Hvsvvxg5Sl40bbxPpy/51nOsoCA3VhPOZEOe02DAPdz3bVRYGMGc4zUgQwUuL1MdP+9eX+cxYGC2e32NKFkQniD7PujhwdfWySVm5tk3RKRUWObr21zJfDedxEACNlXjWmD1VfHiqc3ZJJswxMiz/MYrkxTah/T1v+5UPa86SjzZtbdMUVo5Sfzw4YsEL/+vKar67tG3ySjjf/EnHizR0DPczeeKHFmg4I073JBDCsMVh9ebBwht3iD7Pduzs06tzDVnVAxHuTZ88u1EMPtWrz5hYtXlzcd/WQ18z/FwDeN9hf/dPx5h/cF2wK9f0+588frf37J2v79tNaty6kbdvatHr1aKPr8+Ket1QQwLDK2f7qT13Wf/zSAWGyN5kAhm9Ql/WXxLJRZ1uO7l7TpttDp1y7TWKk4rvzOZPGGtuZE8AAPJFYNhp9TocaNo215gHaN/L0rXzldL6lB1ecr5KS3jhM586cAAbgCZvLRokXh574dZWW/qxFlRV5ad+ZE8AAPGNr2ciWi0MJYABZx5bdOQEMICWmDy+4xYbdub/+iwEwjsHq7iGAYRz3rvkLg9XdQwkCRnHvmj8xWN0d7IBhFPeu+ROD1d3BYwtGce+avwSbQtq+q1lTi8utPFbsNwQwjErHgHW4I3567ORfRqn5VxOljlOqsORYsV8RwDAmXQPW4Y746bGi2tOqvu2g1tTP0sqFdaaX1ceP7XEEMIxI94B1jJztI0FNz/YdDgIYRjBg3X9sOT12NqZn+w6HvXtzZLT4birX0ZC7KfqE7TGvJqCVC2dYF75xu3d3aNSow1q9ulmXXlpkfXuc3atDxkp2N0WfMIZi+60bgyGAYUwyZ/ET+4QrKiq0YsUKNTY2EsCQ5J9bN86GAIbV6BPGYGy/dWMoBDCsRp8wBmPzrRvJIIBhLfqEMRTbOzOGQgDDSvQJI1k2zPUdLgIYVqJPGNmAPmBYKZU+YcCv2AHDSn6v7QHJIIBhLT/X9oBkUIIAAEMIYAAwhAAGAEMIYAAwhAAGAEPogkiz4y+HtPOzv9WJP7covzhPH7l5pi77zkWmlwXAAAI4zSLhiM6/8RxNv7pawQcP6LnNL6ju6mrVXjbZ9NIGxAMD8A4B7KJkwqpq7jhVzR0nSaq5fLL2/8fLCp/oNLHcpPjtgQH4CTVgF8XD6nP7lujc6+r03OYXdOR3bw34teGWTu25J6jAjHJN/+TUNK80eVVzx+nCtbNVeV5ANZf3hq7NDwzAT9gBuyjZ3W24pVOP1f9SHc1hLfv9Pyi/OD/dS02ZXx4YgJ8QwB4YKKzi91bNH1euV5Y/q9DBVi1+vF65hbnqbO1SYbldt7cm3rN1/phi3z0wAD8ggF020O428d6q6je7dNUf35MkPbrwCUnS3359ni75xnyTyz5D4npLeqQv7mpX1+unrX5gAH5EALtgqN1t4mzbN6YUqOx3l1s92zZxvaPfDKv1+ROS7H1gAH5FAI9QMrvbBTdP77u3yg+zbRPv2To+vVhXHLmOqWSABwjgEUp2d+un2bbM4gXSgwAeocTd4mC7W7/NtvXbegE/IoBHiN0igOEigF3AbhHAcHASDgAMYQechRiwA9iBHXAWSmVmBQDvsAPOEgPteuMDdmyfyAZkKgI4Sww0VnLqJRMZsAMYRABniYEmtf127R8UaY8wYAcwhADOAvHyw/FXTyqa7yg/L0e5hbnqOB7Wkh1XMmAHMIQ34TJcsCmkn+4+rK6Pj1Pj9ZVq74mqO9Slns4edZ7s0qMLn9D3pzbouXtfML1UIOuwA85giYOCCvNjuvq/Tyi/OyZJKvzyLN32jYvZ9QIGsQPOYImDgsYe7dT4o919Adz5vVfZ9QKGsQPOYImDglonF6ngvNHqPhbWxY9frks+TtcDYBoBnOGWzJ0ipz2iyd85qK6jYV3/eL0CdeW86QZYgADOUH81KJ5bLQDrEMAZym/XIAHZiAB2kU1DbpIdFA/AHALYRQMd9627ulq1l01O+1oYFA/YjwB20UDHfU0OuWFQPGA3+oA9EG7pZMgNgCGxA3ZZuKVTj9X/Uh3NYYbcABgUAeySYFNIf3jxmHLuflFdr5/W4sfrGXIDYFAEsAviPbcVr7VrEf22AJJEALsg3nP7VnWRfnTnFK2pn0XPLYAhEcAucLPn1qZeYgDeIoBd4GbP7fGXT6j9vQ7FYjF1ne5OqZeY8Ab8hTY0l8yrCWjlwhkj7rsdU1euj635qG4OLlX1pRMlSW88czSp7+W2Y8Bf2AFbJn6YI9zSqeY/nZQkjZ1ZntL3SnYcBAEwOHbAFgq3dOrRy57UqbdPq7ymVDMXT0v5+zkIAtiPHbAlgk0h7T3UrPnjyvXyP/9e775wQkWBQi36yWWKRmJJ/xwOggD+QQBbINgU0j/98A/q7olp2uEO1e9vliR1HA+r4ZKduvDOOVr4rQuH/BkcBAH8hQC2wM//90119fTucsO5zl/9eV5h7qDfz0EQwJ8yLoC7e2K69Im3FXyvU11R6fBnp6q2zO6/hidG7tvVRWp7/GJtXPyRpL+fgyCAP2Xcm3COI11TXaxra0tMLyVpS+ZOUUFejhxJBXk5WjJ3SkrfHz8IkuuI4euAj2TcDjgvx9FdcwO6+7kTppeStHk1AT36+eEf5GD4OuBPGRfAfjXS4ekMXwf8J+NKEADgFxmzA4730S6oq1BJeYmaO3skSa+1RFSY42hiScb8qwLIEBmRSvE2rK5IVAV5OXp1yqy+P/vEU0d108xS/efC8QZXCAB/LSMCON6GFY1J3ZGoHpwZpQ0LgPUyIoDdnMdrI8ZMApkpIwI409uw4mMmp19dreCDB1KaEQzAXhkRwFJmt2ExZhLITNYFsB+PEqfLcMdMUsIA7GRdH7AfjxJ7JdgU0panDyrYFDpjzOR1v/5kSmMmuSkDsJN1O2A/HiX2QmJrXUmP9MVd7cMeM0kJA7CTdTtg9EpsrRv9Zlitz59QONSpRxc+oe9PbdBz976Q8s/kpgzALsZ3wNR8B5bYWnd8erGuOHLdiN5k5KYMwD7GAzhe8y1xovrNO9168c0WhavKs/4osRutdYnXHL2y/FmFDrZyUwZgEScWS/6+sfnz58f27dvn+iKCTSHV/+ygTpRXqO7oazo0cfoZf27DUWK/7dQTa8jVb3bpqp+8e8afc1MGkD6O4wRjsdhf/Q9nxbZyz2vNainuvXr90MTpumdaVOvr7TpKHN+pTynJ038dOm16OUNKrCG/MaVAZb+7nOPZgGWseBPuwmljVRDp7vv4gqljzC3mLOLdGTNH27vrTcQtGYD9jO2AE8dHjh5Tqk+eM0Y/f6NLkjRhbKnrr+e3EsJIZfrxbCATGAngwcZHStK3nz+p7fVVrr7mcEsIiQ8Kv4VYJh/PBjKBkRLEQOMjY7fW6V8vGCNJOtwWUeGPDsl56JCOtHUP/sOSNJwSQvxB8d1dr2rZ1r36+UvHz+jOOHo64sraAGQnIwEcr0/mSHIcR4HiAr0S6uoLtzkVhbpySrGJpZ2h/4Pi08+26gcvt0nqHfT+tSw/rQdgZIyUIObVBLT+mvO1vvGAorGYvvnkS3p1yge7yW2vtukjY5PbqXpZ2+0/Z3jfVfyVHoB7jL0JF2rvUjQWO+stFnc/d0Ivnjg55M8ZqrY7krvieCMLgJeMBbBbt1gMNrzHjbvieCMLgFeMBXD/3aUkbXn6oKu3GnNXHACbGT0JF99denWrcabfFQfA36w4ijzcnWq8vls1foyaO3tnWiTumD86ZYwKP3yeXmuJKBJzVOHBAQ8AGK60BvDZOhaGs1NN3DUfrv1Q3+cTd8yOI33mnHL9X3OXL+Y3AMguaQ3gs3UsDKfbIHHXXHfkT1pTP+uMXXP/sAcA26Q1gAfrWEi122CoXbPfppcByD5W1ICHY6hdM3fLAbBdWgLYq4E2Z9s1J77e8XBP3+ez9XYNAHbyPIn6t5htvP5jA3YsuOWn//N63xFnN1vaAMBtngfwQANt4twOxGBTSOsbDygS7Q34U06e/m50TM+2OPrNpybqvEA+u18A1vA8jUY60CaVYTt7DzWrJ/rBHXdvTZ6ut1p6/5ndLwDbeB7AIx1ok0o3w4K6ChXm56irO6qcHEcNc/L02QurR7J8APBMWv4+PpKBNql0MzC9DICfZFxB1O3pZdl2lxyA9LHiVmSbxUsg19aWmF4KgAxjbQAHm0La8vRBBZtCZ1xXlO672Px2HT0A/7CyBOHVeEoAsImVAWzDIHU/X0cPwB+sDGDTg9TTfXoPQHayMkVMt5Ol8/QegOxlZQBLZi/D5Dp6AOlgbQCbZHoHDiA7EMBnwXX0ALxmbR8wAGQ6AhgADCGAAcAQAhgADCGAAcAQAhgADHFisdjQXxX/Ysd5T1KTd8sBgIxUE4vFxvX/ZEoBDABwDyUIADCEAAYAQwhgADCEAAYAQwhgADCEAAYAQwhgADCEAAYAQwhgADDk/wHn8nosdJT3ZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure of size 6 inches by 4 inches.\n",
    "plt.figure(figsize=(6,4))\n",
    "\n",
    "# These two lines of code are used to scale the data points down,\n",
    "# Or else the data points will be scattered very far apart.\n",
    "\n",
    "# Create a minimum and maximum range of X1.\n",
    "x_min, x_max = np.min(X1, axis=0), np.max(X1, axis=0)\n",
    "\n",
    "# Get the average distance for X1.\n",
    "X1 = (X1 - x_min) / (x_max - x_min)\n",
    "\n",
    "# This loop displays all of the datapoints.\n",
    "for i in range(X1.shape[0]):\n",
    "    # Replace the data points with their respective cluster value \n",
    "    # (ex. 0) and is color coded with a colormap (plt.cm.spectral)\n",
    "    plt.text(X1[i, 0], X1[i, 1], str(y1[i]),\n",
    "             color=plt.cm.nipy_spectral(agglom.labels_[i] / 10.),\n",
    "             fontdict={'weight': 'bold', 'size': 9})\n",
    "    \n",
    "# Remove the x ticks, y ticks, x and y axis\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "#plt.axis('off')\n",
    "\n",
    "\n",
    "\n",
    "# Display the plot of the original data before clustering\n",
    "plt.scatter(X1[:, 0], X1[:, 1], marker='.')\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 id=\"dendrogram\">Dendrogram Associated for the Agglomerative Hierarchical Clustering</h3>\n",
    "\n",
    "Remember that a <b>distance matrix</b> contains the <b> distance from each point to every other point of a dataset </b>.\n",
    "\n",
    "Use the function <b> distance_matrix, </b> which requires <b>two inputs</b>. Use the Feature Matrix, <b> X1 </b> as both inputs and save the distance matrix to a variable called <b> dist_matrix </b> <br> <br>\n",
    "Remember that the distance values are symmetric, with a diagonal of 0's. This is one way of making sure your matrix is correct. <br> (print out dist_matrix to make sure it's correct)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.         0.35709483 0.82611613 ... 0.50669846 0.3834597  0.21273658]\n",
      " [0.35709483 0.         0.5185308  ... 0.24809518 0.09040146 0.18163491]\n",
      " [0.82611613 0.5185308  0.         ... 0.63679703 0.45354769 0.6133872 ]\n",
      " ...\n",
      " [0.50669846 0.24809518 0.63679703 ... 0.         0.32790391 0.40417169]\n",
      " [0.3834597  0.09040146 0.45354769 ... 0.32790391 0.         0.17735775]\n",
      " [0.21273658 0.18163491 0.6133872  ... 0.40417169 0.17735775 0.        ]]\n"
     ]
    }
   ],
   "source": [
    "dist_matrix = distance_matrix(X1,X1) \n",
    "print(dist_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the <b> linkage </b> class from hierarchy, pass in the parameters:\n",
    "\n",
    "<ul>\n",
    "    <li> The distance matrix </li>\n",
    "    <li> 'complete' for complete linkage </li>\n",
    "</ul> <br>\n",
    "Save the result to a variable called <b> Z </b>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "Z = hierarchy.linkage(dist_matrix, 'complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A Hierarchical clustering is typically visualized as a dendrogram as shown in the following cell. Each merge is represented by a horizontal line. The y-coordinate of the horizontal line is the similarity of the two clusters that were merged, where cities are viewed as singleton clusters.\n",
    "By moving up from the bottom layer to the top node, a dendrogram allows us to reconstruct the history of merges that resulted in the depicted clustering.\n",
    "\n",
    "Next, we will save the dendrogram to a variable called <b>dendro</b>. In doing this, the dendrogram will also be displayed.\n",
    "Using the <b> dendrogram </b> class from hierarchy, pass in the parameter:\n",
    "\n",
    "<ul> <li> Z </li> </ul>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro = hierarchy.dendrogram(Z)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Practice\n",
    "\n",
    "We used **complete** linkage for our case, change it to **average** linkage to see how the dendogram changes.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:2: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# write your code here\n",
    "Z_average = hierarchy.linkage(dist_matrix, 'average')\n",
    "dendro_average = hierarchy.dendrogram(Z_average)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "Z = hierarchy.linkage(dist_matrix, 'average')\n",
    "dendro = hierarchy.dendrogram(Z)\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<h1 id=\"clustering_vehicle_dataset\">Clustering on Vehicle dataset</h1>\n",
    "\n",
    "Imagine that an automobile manufacturer has developed prototypes for a new vehicle. Before introducing the new model into its range, the manufacturer wants to determine which existing vehicles on the market are most like the prototypes--that is, how vehicles can be grouped, which group is the most similar with the model, and therefore which models they will be competing against.\n",
    "\n",
    "Our objective here, is to use clustering methods, to find the most distinctive clusters of vehicles. It will summarize the existing vehicles and help manufacturers to make decision about the supply of new models.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download data\n",
    "\n",
    "To download the data, we will use **`!wget`** to download it from IBM Object Storage.\\\n",
    "**Did you know?** When it comes to Machine Learning, you will likely be working with large datasets. As a business, where can you host your data? IBM is offering a unique opportunity for businesses, with 10 Tb of IBM Cloud Object Storage: [Sign up now for free](http://cocl.us/ML0101EN-IBM-Offer-CC)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-10-27 16:00:36--  https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/Module%204/data/cars_clus.csv\n",
      "Resolving cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)... 169.63.118.104\n",
      "Connecting to cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud (cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud)|169.63.118.104|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 17774 (17K) [text/csv]\n",
      "Saving to: ‘cars_clus.csv’\n",
      "\n",
      "cars_clus.csv       100%[===================>]  17.36K   112KB/s    in 0.2s    \n",
      "\n",
      "2021-10-27 16:00:36 (112 KB/s) - ‘cars_clus.csv’ saved [17774/17774]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget -O cars_clus.csv https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-ML0101EN-SkillsNetwork/labs/Module%204/data/cars_clus.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read data\n",
    "\n",
    "Let's read dataset to see what features the manufacturer has collected about the existing models.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of dataset:  (159, 16)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manufact</th>\n",
       "      <th>model</th>\n",
       "      <th>sales</th>\n",
       "      <th>resale</th>\n",
       "      <th>type</th>\n",
       "      <th>price</th>\n",
       "      <th>engine_s</th>\n",
       "      <th>horsepow</th>\n",
       "      <th>wheelbas</th>\n",
       "      <th>width</th>\n",
       "      <th>length</th>\n",
       "      <th>curb_wgt</th>\n",
       "      <th>fuel_cap</th>\n",
       "      <th>mpg</th>\n",
       "      <th>lnsales</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>Integra</td>\n",
       "      <td>16.919</td>\n",
       "      <td>16.360</td>\n",
       "      <td>0.000</td>\n",
       "      <td>21.500</td>\n",
       "      <td>1.800</td>\n",
       "      <td>140.000</td>\n",
       "      <td>101.200</td>\n",
       "      <td>67.300</td>\n",
       "      <td>172.400</td>\n",
       "      <td>2.639</td>\n",
       "      <td>13.200</td>\n",
       "      <td>28.000</td>\n",
       "      <td>2.828</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>39.384</td>\n",
       "      <td>19.875</td>\n",
       "      <td>0.000</td>\n",
       "      <td>28.400</td>\n",
       "      <td>3.200</td>\n",
       "      <td>225.000</td>\n",
       "      <td>108.100</td>\n",
       "      <td>70.300</td>\n",
       "      <td>192.900</td>\n",
       "      <td>3.517</td>\n",
       "      <td>17.200</td>\n",
       "      <td>25.000</td>\n",
       "      <td>3.673</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>CL</td>\n",
       "      <td>14.114</td>\n",
       "      <td>18.225</td>\n",
       "      <td>0.000</td>\n",
       "      <td>$null$</td>\n",
       "      <td>3.200</td>\n",
       "      <td>225.000</td>\n",
       "      <td>106.900</td>\n",
       "      <td>70.600</td>\n",
       "      <td>192.000</td>\n",
       "      <td>3.470</td>\n",
       "      <td>17.200</td>\n",
       "      <td>26.000</td>\n",
       "      <td>2.647</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>8.588</td>\n",
       "      <td>29.725</td>\n",
       "      <td>0.000</td>\n",
       "      <td>42.000</td>\n",
       "      <td>3.500</td>\n",
       "      <td>210.000</td>\n",
       "      <td>114.600</td>\n",
       "      <td>71.400</td>\n",
       "      <td>196.600</td>\n",
       "      <td>3.850</td>\n",
       "      <td>18.000</td>\n",
       "      <td>22.000</td>\n",
       "      <td>2.150</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Audi</td>\n",
       "      <td>A4</td>\n",
       "      <td>20.397</td>\n",
       "      <td>22.255</td>\n",
       "      <td>0.000</td>\n",
       "      <td>23.990</td>\n",
       "      <td>1.800</td>\n",
       "      <td>150.000</td>\n",
       "      <td>102.600</td>\n",
       "      <td>68.200</td>\n",
       "      <td>178.000</td>\n",
       "      <td>2.998</td>\n",
       "      <td>16.400</td>\n",
       "      <td>27.000</td>\n",
       "      <td>3.015</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  manufact    model   sales  resale   type   price engine_s horsepow wheelbas  \\\n",
       "0    Acura  Integra  16.919  16.360  0.000  21.500    1.800  140.000  101.200   \n",
       "1    Acura       TL  39.384  19.875  0.000  28.400    3.200  225.000  108.100   \n",
       "2    Acura       CL  14.114  18.225  0.000  $null$    3.200  225.000  106.900   \n",
       "3    Acura       RL   8.588  29.725  0.000  42.000    3.500  210.000  114.600   \n",
       "4     Audi       A4  20.397  22.255  0.000  23.990    1.800  150.000  102.600   \n",
       "\n",
       "    width   length curb_wgt fuel_cap     mpg lnsales  partition  \n",
       "0  67.300  172.400    2.639   13.200  28.000   2.828        0.0  \n",
       "1  70.300  192.900    3.517   17.200  25.000   3.673        0.0  \n",
       "2  70.600  192.000    3.470   17.200  26.000   2.647        0.0  \n",
       "3  71.400  196.600    3.850   18.000  22.000   2.150        0.0  \n",
       "4  68.200  178.000    2.998   16.400  27.000   3.015        0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filename = 'cars_clus.csv'\n",
    "\n",
    "#Read csv\n",
    "pdf = pd.read_csv(filename)\n",
    "print (\"Shape of dataset: \", pdf.shape)\n",
    "\n",
    "pdf.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The feature sets include  price in thousands (price), engine size (engine_s), horsepower (horsepow), wheelbase (wheelbas), width (width), length (length), curb weight (curb_wgt), fuel capacity (fuel_cap) and fuel efficiency (mpg).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"data_cleaning\">Data Cleaning</h2>\n",
    "\n",
    "Let's clean the dataset by dropping the rows that have null value:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of dataset before cleaning:  2544\n",
      "Shape of dataset after cleaning:  1872\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manufact</th>\n",
       "      <th>model</th>\n",
       "      <th>sales</th>\n",
       "      <th>resale</th>\n",
       "      <th>type</th>\n",
       "      <th>price</th>\n",
       "      <th>engine_s</th>\n",
       "      <th>horsepow</th>\n",
       "      <th>wheelbas</th>\n",
       "      <th>width</th>\n",
       "      <th>length</th>\n",
       "      <th>curb_wgt</th>\n",
       "      <th>fuel_cap</th>\n",
       "      <th>mpg</th>\n",
       "      <th>lnsales</th>\n",
       "      <th>partition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>Integra</td>\n",
       "      <td>16.919</td>\n",
       "      <td>16.360</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.50</td>\n",
       "      <td>1.8</td>\n",
       "      <td>140.0</td>\n",
       "      <td>101.2</td>\n",
       "      <td>67.3</td>\n",
       "      <td>172.4</td>\n",
       "      <td>2.639</td>\n",
       "      <td>13.2</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.828</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>39.384</td>\n",
       "      <td>19.875</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.40</td>\n",
       "      <td>3.2</td>\n",
       "      <td>225.0</td>\n",
       "      <td>108.1</td>\n",
       "      <td>70.3</td>\n",
       "      <td>192.9</td>\n",
       "      <td>3.517</td>\n",
       "      <td>17.2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3.673</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>8.588</td>\n",
       "      <td>29.725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.00</td>\n",
       "      <td>3.5</td>\n",
       "      <td>210.0</td>\n",
       "      <td>114.6</td>\n",
       "      <td>71.4</td>\n",
       "      <td>196.6</td>\n",
       "      <td>3.850</td>\n",
       "      <td>18.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.150</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Audi</td>\n",
       "      <td>A4</td>\n",
       "      <td>20.397</td>\n",
       "      <td>22.255</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.99</td>\n",
       "      <td>1.8</td>\n",
       "      <td>150.0</td>\n",
       "      <td>102.6</td>\n",
       "      <td>68.2</td>\n",
       "      <td>178.0</td>\n",
       "      <td>2.998</td>\n",
       "      <td>16.4</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.015</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Audi</td>\n",
       "      <td>A6</td>\n",
       "      <td>18.780</td>\n",
       "      <td>23.555</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.95</td>\n",
       "      <td>2.8</td>\n",
       "      <td>200.0</td>\n",
       "      <td>108.7</td>\n",
       "      <td>76.1</td>\n",
       "      <td>192.0</td>\n",
       "      <td>3.561</td>\n",
       "      <td>18.5</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.933</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  manufact    model   sales  resale  type  price  engine_s  horsepow  \\\n",
       "0    Acura  Integra  16.919  16.360   0.0  21.50       1.8     140.0   \n",
       "1    Acura       TL  39.384  19.875   0.0  28.40       3.2     225.0   \n",
       "2    Acura       RL   8.588  29.725   0.0  42.00       3.5     210.0   \n",
       "3     Audi       A4  20.397  22.255   0.0  23.99       1.8     150.0   \n",
       "4     Audi       A6  18.780  23.555   0.0  33.95       2.8     200.0   \n",
       "\n",
       "   wheelbas  width  length  curb_wgt  fuel_cap   mpg  lnsales  partition  \n",
       "0     101.2   67.3   172.4     2.639      13.2  28.0    2.828        0.0  \n",
       "1     108.1   70.3   192.9     3.517      17.2  25.0    3.673        0.0  \n",
       "2     114.6   71.4   196.6     3.850      18.0  22.0    2.150        0.0  \n",
       "3     102.6   68.2   178.0     2.998      16.4  27.0    3.015        0.0  \n",
       "4     108.7   76.1   192.0     3.561      18.5  22.0    2.933        0.0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print (\"Shape of dataset before cleaning: \", pdf.size)\n",
    "pdf[[ 'sales', 'resale', 'type', 'price', 'engine_s',\n",
    "       'horsepow', 'wheelbas', 'width', 'length', 'curb_wgt', 'fuel_cap',\n",
    "       'mpg', 'lnsales']] = pdf[['sales', 'resale', 'type', 'price', 'engine_s',\n",
    "       'horsepow', 'wheelbas', 'width', 'length', 'curb_wgt', 'fuel_cap',\n",
    "       'mpg', 'lnsales']].apply(pd.to_numeric, errors='coerce')\n",
    "pdf = pdf.dropna()\n",
    "pdf = pdf.reset_index(drop=True)\n",
    "print (\"Shape of dataset after cleaning: \", pdf.size)\n",
    "pdf.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature selection\n",
    "\n",
    "Let's select our feature set:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "featureset = pdf[['engine_s',  'horsepow', 'wheelbas', 'width', 'length', 'curb_wgt', 'fuel_cap', 'mpg']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalization\n",
    "\n",
    "Now we can normalize the feature set. **MinMaxScaler** transforms features by scaling each feature to a given range. It is by default (0, 1). That is, this estimator scales and translates each feature individually such that it is between zero and one.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.11428571, 0.21518987, 0.18655098, 0.28143713, 0.30625832,\n",
       "        0.2310559 , 0.13364055, 0.43333333],\n",
       "       [0.31428571, 0.43037975, 0.3362256 , 0.46107784, 0.5792277 ,\n",
       "        0.50372671, 0.31797235, 0.33333333],\n",
       "       [0.35714286, 0.39240506, 0.47722343, 0.52694611, 0.62849534,\n",
       "        0.60714286, 0.35483871, 0.23333333],\n",
       "       [0.11428571, 0.24050633, 0.21691974, 0.33532934, 0.38082557,\n",
       "        0.34254658, 0.28110599, 0.4       ],\n",
       "       [0.25714286, 0.36708861, 0.34924078, 0.80838323, 0.56724368,\n",
       "        0.5173913 , 0.37788018, 0.23333333]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "x = featureset.values #returns a numpy array\n",
    "min_max_scaler = MinMaxScaler()\n",
    "feature_mtx = min_max_scaler.fit_transform(x)\n",
    "feature_mtx [0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"clustering_using_scipy\">Clustering using Scipy</h2>\n",
    "\n",
    "In this part we use Scipy package to cluster the dataset.\n",
    "\n",
    "First, we calculate the distance matrix.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:3: DeprecationWarning: scipy.zeros is deprecated and will be removed in SciPy 2.0.0, use numpy.zeros instead\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0.        , 0.57777143, 0.75455727, ..., 0.28530295, 0.24917241,\n",
       "        0.18879995],\n",
       "       [0.57777143, 0.        , 0.22798938, ..., 0.36087756, 0.66346677,\n",
       "        0.62201282],\n",
       "       [0.75455727, 0.22798938, 0.        , ..., 0.51727787, 0.81786095,\n",
       "        0.77930119],\n",
       "       ...,\n",
       "       [0.28530295, 0.36087756, 0.51727787, ..., 0.        , 0.41797928,\n",
       "        0.35720492],\n",
       "       [0.24917241, 0.66346677, 0.81786095, ..., 0.41797928, 0.        ,\n",
       "        0.15212198],\n",
       "       [0.18879995, 0.62201282, 0.77930119, ..., 0.35720492, 0.15212198,\n",
       "        0.        ]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import scipy\n",
    "leng = feature_mtx.shape[0]\n",
    "D = scipy.zeros([leng,leng])\n",
    "for i in range(leng):\n",
    "    for j in range(leng):\n",
    "        D[i,j] = scipy.spatial.distance.euclidean(feature_mtx[i], feature_mtx[j])\n",
    "D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In agglomerative clustering, at each iteration, the algorithm must update the distance matrix to reflect the distance of the newly formed cluster with the remaining clusters in the forest.\n",
    "The following methods are supported in Scipy for calculating the distance between the newly formed cluster and each:\n",
    "\\- single\n",
    "\\- complete\n",
    "\\- average\n",
    "\\- weighted\n",
    "\\- centroid\n",
    "\n",
    "We use **complete** for our case, but feel free to change it to see how the results change.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:3: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "import pylab\n",
    "import scipy.cluster.hierarchy\n",
    "Z = hierarchy.linkage(D, 'complete')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Essentially, Hierarchical clustering does not require a pre-specified number of clusters. However, in some applications we want a partition of disjoint clusters just as in flat clustering.\n",
    "So you can use a cutting line:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  5,  5,  6,  5,  4,  6,  5,  5,  5,  5,  5,  4,  4,  5,  1,  6,\n",
       "        5,  5,  5,  4,  2, 11,  6,  6,  5,  6,  5,  1,  6,  6, 10,  9,  8,\n",
       "        9,  3,  5,  1,  7,  6,  5,  3,  5,  3,  8,  7,  9,  2,  6,  6,  5,\n",
       "        4,  2,  1,  6,  5,  2,  7,  5,  5,  5,  4,  4,  3,  2,  6,  6,  5,\n",
       "        7,  4,  7,  6,  6,  5,  3,  5,  5,  6,  5,  4,  4,  1,  6,  5,  5,\n",
       "        5,  6,  4,  5,  4,  1,  6,  5,  6,  6,  5,  5,  5,  7,  7,  7,  2,\n",
       "        2,  1,  2,  6,  5,  1,  1,  1,  7,  8,  1,  1,  6,  1,  1],\n",
       "      dtype=int32)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.cluster.hierarchy import fcluster\n",
    "max_d = 3\n",
    "clusters = fcluster(Z, max_d, criterion='distance')\n",
    "clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also, you can determine the number of clusters directly:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 3, 3, 3, 3, 2, 3, 3, 3, 3, 3, 3, 2, 2, 3, 1, 3, 3, 3, 3, 2, 1,\n",
       "       5, 3, 3, 3, 3, 3, 1, 3, 3, 4, 4, 4, 4, 2, 3, 1, 3, 3, 3, 2, 3, 2,\n",
       "       4, 3, 4, 1, 3, 3, 3, 2, 1, 1, 3, 3, 1, 3, 3, 3, 3, 2, 2, 2, 1, 3,\n",
       "       3, 3, 3, 2, 3, 3, 3, 3, 2, 3, 3, 3, 3, 2, 2, 1, 3, 3, 3, 3, 3, 2,\n",
       "       3, 2, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 3, 3, 1, 1, 1,\n",
       "       3, 4, 1, 1, 3, 1, 1], dtype=int32)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.cluster.hierarchy import fcluster\n",
    "k = 5\n",
    "clusters = fcluster(Z, k, criterion='maxclust')\n",
    "clusters\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, plot the dendrogram:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = pylab.figure(figsize=(18,50))\n",
    "def llf(id):\n",
    "    return '[%s %s %s]' % (pdf['manufact'][id], pdf['model'][id], int(float(pdf['type'][id])) )\n",
    "    \n",
    "dendro = hierarchy.dendrogram(Z,  leaf_label_func=llf, leaf_rotation=0, leaf_font_size =12, orientation = 'right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"clustering_using_skl\">Clustering using scikit-learn</h2>\n",
    "\n",
    "Let's redo it again, but this time using the scikit-learn package:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.         0.57777143 0.75455727 ... 0.28530295 0.24917241 0.18879995]\n",
      " [0.57777143 0.         0.22798938 ... 0.36087756 0.66346677 0.62201282]\n",
      " [0.75455727 0.22798938 0.         ... 0.51727787 0.81786095 0.77930119]\n",
      " ...\n",
      " [0.28530295 0.36087756 0.51727787 ... 0.         0.41797928 0.35720492]\n",
      " [0.24917241 0.66346677 0.81786095 ... 0.41797928 0.         0.15212198]\n",
      " [0.18879995 0.62201282 0.77930119 ... 0.35720492 0.15212198 0.        ]]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/metrics/pairwise.py:54: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  dtype = np.float\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics.pairwise import euclidean_distances\n",
    "dist_matrix = euclidean_distances(feature_mtx,feature_mtx) \n",
    "print(dist_matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "Z_using_dist_matrix = hierarchy.linkage(dist_matrix, 'complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = pylab.figure(figsize=(18,50))\n",
    "def llf(id):\n",
    "    return '[%s %s %s]' % (pdf['manufact'][id], pdf['model'][id], int(float(pdf['type'][id])) )\n",
    "    \n",
    "dendro = hierarchy.dendrogram(Z_using_dist_matrix,  leaf_label_func=llf, leaf_rotation=0, leaf_font_size =12, orientation = 'right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can use the 'AgglomerativeClustering' function from scikit-learn library to cluster the dataset. The AgglomerativeClustering performs a hierarchical clustering using a bottom up approach. The linkage criteria determines the metric used for the merge strategy:\n",
    "\n",
    "*   Ward minimizes the sum of squared differences within all clusters. It is a variance-minimizing approach and in this sense is similar to the k-means objective function but tackled with an agglomerative hierarchical approach.\n",
    "*   Maximum or complete linkage minimizes the maximum distance between observations of pairs of clusters.\n",
    "*   Average linkage minimizes the average of the distances between all observations of pairs of clusters.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/cluster/hierarchical.py:471: ClusterWarning: scipy.cluster: The symmetric non-negative hollow observation matrix looks suspiciously like an uncondensed distance matrix\n",
      "  out = hierarchy.linkage(X, method=linkage, metric=affinity)\n",
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/sklearn/cluster/hierarchical.py:472: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  children_ = out[:, :2].astype(np.int)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([1, 2, 2, 3, 2, 4, 3, 2, 2, 2, 2, 2, 4, 4, 2, 1, 3, 2, 2, 2, 4, 1,\n",
       "       5, 3, 3, 2, 3, 2, 1, 3, 3, 0, 0, 0, 0, 4, 2, 1, 3, 3, 2, 4, 2, 4,\n",
       "       0, 3, 0, 1, 3, 3, 2, 4, 1, 1, 3, 2, 1, 3, 2, 2, 2, 4, 4, 4, 1, 3,\n",
       "       3, 2, 3, 4, 3, 3, 3, 2, 4, 2, 2, 3, 2, 4, 4, 1, 3, 2, 2, 2, 3, 4,\n",
       "       2, 4, 1, 3, 2, 3, 3, 2, 2, 2, 3, 3, 3, 1, 1, 1, 1, 3, 2, 1, 1, 1,\n",
       "       3, 0, 1, 1, 3, 1, 1])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agglom = AgglomerativeClustering(n_clusters = 6, linkage = 'complete')\n",
    "agglom.fit(dist_matrix)\n",
    "\n",
    "agglom.labels_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can add a new field to our dataframe to show the cluster of each row:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manufact</th>\n",
       "      <th>model</th>\n",
       "      <th>sales</th>\n",
       "      <th>resale</th>\n",
       "      <th>type</th>\n",
       "      <th>price</th>\n",
       "      <th>engine_s</th>\n",
       "      <th>horsepow</th>\n",
       "      <th>wheelbas</th>\n",
       "      <th>width</th>\n",
       "      <th>length</th>\n",
       "      <th>curb_wgt</th>\n",
       "      <th>fuel_cap</th>\n",
       "      <th>mpg</th>\n",
       "      <th>lnsales</th>\n",
       "      <th>partition</th>\n",
       "      <th>cluster_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Acura</td>\n",
       "      <td>Integra</td>\n",
       "      <td>16.919</td>\n",
       "      <td>16.360</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.50</td>\n",
       "      <td>1.8</td>\n",
       "      <td>140.0</td>\n",
       "      <td>101.2</td>\n",
       "      <td>67.3</td>\n",
       "      <td>172.4</td>\n",
       "      <td>2.639</td>\n",
       "      <td>13.2</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.828</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>39.384</td>\n",
       "      <td>19.875</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.40</td>\n",
       "      <td>3.2</td>\n",
       "      <td>225.0</td>\n",
       "      <td>108.1</td>\n",
       "      <td>70.3</td>\n",
       "      <td>192.9</td>\n",
       "      <td>3.517</td>\n",
       "      <td>17.2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3.673</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Acura</td>\n",
       "      <td>RL</td>\n",
       "      <td>8.588</td>\n",
       "      <td>29.725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.00</td>\n",
       "      <td>3.5</td>\n",
       "      <td>210.0</td>\n",
       "      <td>114.6</td>\n",
       "      <td>71.4</td>\n",
       "      <td>196.6</td>\n",
       "      <td>3.850</td>\n",
       "      <td>18.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Audi</td>\n",
       "      <td>A4</td>\n",
       "      <td>20.397</td>\n",
       "      <td>22.255</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.99</td>\n",
       "      <td>1.8</td>\n",
       "      <td>150.0</td>\n",
       "      <td>102.6</td>\n",
       "      <td>68.2</td>\n",
       "      <td>178.0</td>\n",
       "      <td>2.998</td>\n",
       "      <td>16.4</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Audi</td>\n",
       "      <td>A6</td>\n",
       "      <td>18.780</td>\n",
       "      <td>23.555</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.95</td>\n",
       "      <td>2.8</td>\n",
       "      <td>200.0</td>\n",
       "      <td>108.7</td>\n",
       "      <td>76.1</td>\n",
       "      <td>192.0</td>\n",
       "      <td>3.561</td>\n",
       "      <td>18.5</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.933</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  manufact    model   sales  resale  type  price  engine_s  horsepow  \\\n",
       "0    Acura  Integra  16.919  16.360   0.0  21.50       1.8     140.0   \n",
       "1    Acura       TL  39.384  19.875   0.0  28.40       3.2     225.0   \n",
       "2    Acura       RL   8.588  29.725   0.0  42.00       3.5     210.0   \n",
       "3     Audi       A4  20.397  22.255   0.0  23.99       1.8     150.0   \n",
       "4     Audi       A6  18.780  23.555   0.0  33.95       2.8     200.0   \n",
       "\n",
       "   wheelbas  width  length  curb_wgt  fuel_cap   mpg  lnsales  partition  \\\n",
       "0     101.2   67.3   172.4     2.639      13.2  28.0    2.828        0.0   \n",
       "1     108.1   70.3   192.9     3.517      17.2  25.0    3.673        0.0   \n",
       "2     114.6   71.4   196.6     3.850      18.0  22.0    2.150        0.0   \n",
       "3     102.6   68.2   178.0     2.998      16.4  27.0    3.015        0.0   \n",
       "4     108.7   76.1   192.0     3.561      18.5  22.0    2.933        0.0   \n",
       "\n",
       "   cluster_  \n",
       "0         1  \n",
       "1         2  \n",
       "2         2  \n",
       "3         3  \n",
       "4         2  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf['cluster_'] = agglom.labels_\n",
    "pdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'mpg')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x1008 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "n_clusters = max(agglom.labels_)+1\n",
    "colors = cm.rainbow(np.linspace(0, 1, n_clusters))\n",
    "cluster_labels = list(range(0, n_clusters))\n",
    "\n",
    "# Create a figure of size 6 inches by 4 inches.\n",
    "plt.figure(figsize=(16,14))\n",
    "\n",
    "for color, label in zip(colors, cluster_labels):\n",
    "    subset = pdf[pdf.cluster_ == label]\n",
    "    for i in subset.index:\n",
    "            plt.text(subset.horsepow[i], subset.mpg[i],str(subset['model'][i]), rotation=25) \n",
    "    plt.scatter(subset.horsepow, subset.mpg, s= subset.price*10, c=color, label='cluster'+str(label),alpha=0.5)\n",
    "#    plt.scatter(subset.horsepow, subset.mpg)\n",
    "plt.legend()\n",
    "plt.title('Clusters')\n",
    "plt.xlabel('horsepow')\n",
    "plt.ylabel('mpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, we are seeing the distribution of each cluster using the scatter plot, but it is not very clear where is the centroid of each cluster. Moreover, there are 2 types of vehicles in our dataset, \"truck\" (value of 1 in the type column) and \"car\" (value of 0 in the type column). So, we use them to distinguish the classes, and summarize the cluster. First we count the number of cases in each group:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cluster_  type\n",
       "0         0.0      1\n",
       "          1.0      6\n",
       "1         0.0     20\n",
       "          1.0      3\n",
       "2         0.0     26\n",
       "          1.0     10\n",
       "3         0.0     28\n",
       "          1.0      5\n",
       "4         0.0     12\n",
       "          1.0      5\n",
       "5         0.0      1\n",
       "Name: cluster_, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf.groupby(['cluster_','type'])['cluster_'].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can look at the characteristics of each cluster:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>horsepow</th>\n",
       "      <th>engine_s</th>\n",
       "      <th>mpg</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cluster_</th>\n",
       "      <th>type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th>0.0</th>\n",
       "      <td>450.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>69.725000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>211.666667</td>\n",
       "      <td>4.483333</td>\n",
       "      <td>16.166667</td>\n",
       "      <td>29.024667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>0.0</th>\n",
       "      <td>118.500000</td>\n",
       "      <td>1.890000</td>\n",
       "      <td>29.550000</td>\n",
       "      <td>14.226100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>129.666667</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>22.333333</td>\n",
       "      <td>14.292000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2</th>\n",
       "      <th>0.0</th>\n",
       "      <td>203.615385</td>\n",
       "      <td>3.284615</td>\n",
       "      <td>24.223077</td>\n",
       "      <td>27.988692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>182.000000</td>\n",
       "      <td>3.420000</td>\n",
       "      <td>20.300000</td>\n",
       "      <td>26.120600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">3</th>\n",
       "      <th>0.0</th>\n",
       "      <td>168.107143</td>\n",
       "      <td>2.557143</td>\n",
       "      <td>25.107143</td>\n",
       "      <td>24.693786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>155.600000</td>\n",
       "      <td>2.840000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>19.807000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">4</th>\n",
       "      <th>0.0</th>\n",
       "      <td>267.666667</td>\n",
       "      <td>4.566667</td>\n",
       "      <td>21.416667</td>\n",
       "      <td>46.417417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>173.000000</td>\n",
       "      <td>3.180000</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>24.308400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>0.0</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>9.235000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 horsepow  engine_s        mpg      price\n",
       "cluster_ type                                            \n",
       "0        0.0   450.000000  8.000000  16.000000  69.725000\n",
       "         1.0   211.666667  4.483333  16.166667  29.024667\n",
       "1        0.0   118.500000  1.890000  29.550000  14.226100\n",
       "         1.0   129.666667  2.300000  22.333333  14.292000\n",
       "2        0.0   203.615385  3.284615  24.223077  27.988692\n",
       "         1.0   182.000000  3.420000  20.300000  26.120600\n",
       "3        0.0   168.107143  2.557143  25.107143  24.693786\n",
       "         1.0   155.600000  2.840000  22.000000  19.807000\n",
       "4        0.0   267.666667  4.566667  21.416667  46.417417\n",
       "         1.0   173.000000  3.180000  20.600000  24.308400\n",
       "5        0.0    55.000000  1.000000  45.000000   9.235000"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agg_cars = pdf.groupby(['cluster_','type'])['horsepow','engine_s','mpg','price'].mean()\n",
    "agg_cars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is obvious that we have 3 main clusters with the majority of vehicles in those.\n",
    "\n",
    "**Cars**:\n",
    "\n",
    "*   Cluster 1: with almost high mpg, and low in horsepower.\n",
    "\n",
    "*   Cluster 2: with good mpg and horsepower, but higher price than average.\n",
    "\n",
    "*   Cluster 3: with low mpg, high horsepower, highest price.\n",
    "\n",
    "**Trucks**:\n",
    "\n",
    "*   Cluster 1: with almost highest mpg among trucks, and lowest in horsepower and price.\n",
    "*   Cluster 2: with almost low mpg and medium horsepower, but higher price than average.\n",
    "*   Cluster 3: with good mpg and horsepower, low price.\n",
    "\n",
    "Please notice that we did not use **type**  and **price** of cars in the clustering process, but Hierarchical clustering could forge the clusters and discriminate them with quite a high accuracy.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'mpg')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "for color, label in zip(colors, cluster_labels):\n",
    "    subset = agg_cars.loc[(label,),]\n",
    "    for i in subset.index:\n",
    "        plt.text(subset.loc[i][0]+5, subset.loc[i][2], 'type='+str(int(i)) + ', price='+str(int(subset.loc[i][3]))+'k')\n",
    "    plt.scatter(subset.horsepow, subset.mpg, s=subset.price*20, c=color, label='cluster'+str(label))\n",
    "plt.legend()\n",
    "plt.title('Clusters')\n",
    "plt.xlabel('horsepow')\n",
    "plt.ylabel('mpg')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Want to learn more?</h2>\n",
    "\n",
    "IBM SPSS Modeler is a comprehensive analytics platform that has many machine learning algorithms. It has been designed to bring predictive intelligence to decisions made by individuals, by groups, by systems – by your enterprise as a whole. A free trial is available through this course, available here: <a href=\"https://www.ibm.com/analytics/spss-statistics-software?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2021-01-01\">SPSS Modeler</a>\n",
    "\n",
    "Also, you can use Watson Studio to run these notebooks faster with bigger datasets. Watson Studio is IBM's leading cloud solution for data scientists, built by data scientists. With Jupyter notebooks, RStudio, Apache Spark and popular libraries pre-packaged in the cloud, Watson Studio enables data scientists to collaborate on their projects without having to install anything. Join the fast-growing community of Watson Studio users today with a free account at <a href=\"https://www.ibm.com/cloud/watson-studio?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2021-01-01\">Watson Studio</a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Thank you for completing this lab!\n",
    "\n",
    "## Author\n",
    "\n",
    "Saeed Aghabozorgi\n",
    "\n",
    "### Other Contributors\n",
    "\n",
    "<a href=\"https://www.linkedin.com/in/joseph-s-50398b136/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkML0101ENSkillsNetwork20718538-2021-01-01\" target=\"_blank\">Joseph Santarcangelo</a>\n",
    "\n",
    "## Change Log\n",
    "\n",
    "| Date (YYYY-MM-DD) | Version | Changed By | Change Description                                  |\n",
    "| ----------------- | ------- | ---------- | --------------------------------------------------- |\n",
    "| 2021-01-11        | 2.2     | Lakshmi    | Changed distance matrix in agglomerative clustering |\n",
    "| 2020-11-03        | 2.1     | Lakshmi    | Updated URL                                         |\n",
    "| 2020-08-27        | 2.0     | Lavanya    | Moved lab to course repo in GitLab                  |\n",
    "\n",
    "## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python",
   "language": "python",
   "name": "conda-env-python-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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