Day_057_HW.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作業\n",
    "- 作業目標 : 用 iris (dataset.load_iris()) 資料嘗試跑 hierarchical clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import datasets\n",
    "\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data\n",
    "y = iris.target"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "載入 相關套件 並 執行 hierarchical clustering 實驗 ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# Though the following import is not directly being used, it is required\n",
    "# for 3D projection to work\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "from sklearn.cluster import AgglomerativeClustering\n",
    "from sklearn import datasets\n",
    "\n",
    "np.random.seed(5)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "estimators = [('hc_ward', AgglomerativeClustering(n_clusters=3, linkage=\"ward\")),\n",
    "              ('hc_complete', AgglomerativeClustering(n_clusters=3, linkage=\"complete\")),\n",
    "              ('hc_average', AgglomerativeClustering(n_clusters=3, linkage=\"average\"))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:16: MatplotlibDeprecationWarning: The w_xaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use xaxis instead.\n",
      "  ax.w_xaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:17: MatplotlibDeprecationWarning: The w_yaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use yaxis instead.\n",
      "  ax.w_yaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:18: MatplotlibDeprecationWarning: The w_zaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use zaxis instead.\n",
      "  ax.w_zaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:20: MatplotlibDeprecationWarning: The dist attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later.\n",
      "  ax.dist = 12\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:16: MatplotlibDeprecationWarning: The w_xaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use xaxis instead.\n",
      "  ax.w_xaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:17: MatplotlibDeprecationWarning: The w_yaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use yaxis instead.\n",
      "  ax.w_yaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:18: MatplotlibDeprecationWarning: The w_zaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use zaxis instead.\n",
      "  ax.w_zaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:20: MatplotlibDeprecationWarning: The dist attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later.\n",
      "  ax.dist = 12\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:16: MatplotlibDeprecationWarning: The w_xaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use xaxis instead.\n",
      "  ax.w_xaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:17: MatplotlibDeprecationWarning: The w_yaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use yaxis instead.\n",
      "  ax.w_yaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:18: MatplotlibDeprecationWarning: The w_zaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use zaxis instead.\n",
      "  ax.w_zaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:20: MatplotlibDeprecationWarning: The dist attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later.\n",
      "  ax.dist = 12\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:40: MatplotlibDeprecationWarning: The w_xaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use xaxis instead.\n",
      "  ax.w_xaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:41: MatplotlibDeprecationWarning: The w_yaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use yaxis instead.\n",
      "  ax.w_yaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:42: MatplotlibDeprecationWarning: The w_zaxis attribute was deprecated in Matplotlib 3.1 and will be removed in 3.8. Use zaxis instead.\n",
      "  ax.w_zaxis.set_ticklabels([])\n",
      "C:\\Users\\elvis\\AppData\\Local\\Temp\\ipykernel_16244\\3280879424.py:44: MatplotlibDeprecationWarning: The dist attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later.\n",
      "  ax.dist = 12\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 400x300 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 400x300 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 400x300 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "fignum = 1\n",
    "titles = ['ward', 'complate', 'average']\n",
    "for name, est in estimators:\n",
    "    fig = plt.figure(fignum, figsize=(4, 3))   \n",
    "    ax = Axes3D(fig, rect=[0, 0, .95, 1], elev=48, azim=134)\n",
    "    \n",
    "    ## fit data\n",
    "    est.fit(X)\n",
    "    \n",
    "    labels = est.labels_\n",
    "\n",
    "    ax.scatter(X[:, 3], X[:, 0], X[:, 2],\n",
    "               c=labels.astype(float), edgecolor='k')\n",
    "\n",
    "    ax.w_xaxis.set_ticklabels([])\n",
    "    ax.w_yaxis.set_ticklabels([])\n",
    "    ax.w_zaxis.set_ticklabels([])\n",
    "    ax.set_title(titles[fignum - 1])\n",
    "    ax.dist = 12\n",
    "    fignum = fignum + 1\n",
    "\n",
    "# Plot the ground truth\n",
    "fig = plt.figure(fignum, figsize=(4, 3))\n",
    "ax = Axes3D(fig, rect=[0, 0, .95, 1], elev=48, azim=134)\n",
    "\n",
    "for name, label in [('cls0', 0),\n",
    "                    ('cls1', 1),\n",
    "                    ('cls2', 2)]:\n",
    "    ax.text3D(X[y == label, 3].mean(),\n",
    "              X[y == label, 0].mean(),\n",
    "              X[y == label, 2].mean() + 2, name,\n",
    "              horizontalalignment='center',\n",
    "              bbox=dict(alpha=.2, edgecolor='w', facecolor='w'))\n",
    "# Reorder the labels to have colors matching the cluster results\n",
    "y = y.astype(int)\n",
    "y = np.choose(y, [1, 2, 0])\n",
    "ax.scatter(X[:, 3], X[:, 0], X[:, 2], c=y, edgecolor='k')\n",
    "\n",
    "ax.w_xaxis.set_ticklabels([])\n",
    "ax.w_yaxis.set_ticklabels([])\n",
    "ax.w_zaxis.set_ticklabels([])\n",
    "ax.set_title('Ground Truth')\n",
    "ax.dist = 12\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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