SpeedComparisionbeta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "40c9c9b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "from time import strftime\n",
    "from datetime import datetime \n",
    "from time import gmtime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ba2a9f9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b47c0bea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4e78139",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70a8c71a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8baf5b1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# helper scriot for timinig the performances\n",
    "def start_time_():    \n",
    "    #import time\n",
    "    start_time = time.time()\n",
    "    return(start_time)\n",
    "\n",
    "def end_time_():\n",
    "    #import time\n",
    "    end_time = time.time()\n",
    "    return(end_time)\n",
    "\n",
    "def Execution_time(start_time_,end_time_):\n",
    "   #import time\n",
    "   #from time import strftime\n",
    "   #from datetime import datetime \n",
    "   #from time import gmtime\n",
    "    return(strftime(\"%H:%M:%S\",gmtime(int('{:.0f}'.format(float(str((end_time-start_time))))))))\n",
    "\n",
    "start_time = start_time_()\n",
    "# your code here #\n",
    "[i for i in range(0,100000000)]\n",
    "# your code here #\n",
    "end_time = end_time_()\n",
    "print(\"Execution_time is :\", Execution_time(start_time,end_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66534a9c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5216dcdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import warnings\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import cluster, datasets, mixture\n",
    "from sklearn.neighbors import kneighbors_graph\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from itertools import cycle, islice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fac3689e",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f10a7558",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_samples = 500\n",
    "noisy_circles = datasets.make_circles(n_samples=n_samples, factor=0.5, noise=0.05)\n",
    "noisy_moons = datasets.make_moons(n_samples=n_samples, noise=0.05)\n",
    "blobs = datasets.make_blobs(n_samples=n_samples, random_state=8)\n",
    "no_structure = np.random.rand(n_samples, 2), None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "846d7515",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Anisotropicly distributed data\n",
    "random_state = 170\n",
    "X, y = datasets.make_blobs(n_samples=n_samples, random_state=random_state)\n",
    "transformation = [[0.6, -0.6], [-0.4, 0.8]]\n",
    "X_aniso = np.dot(X, transformation)\n",
    "aniso = (X_aniso, y)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a0537145",
   "metadata": {},
   "outputs": [
    {
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       "        [-3.34141193,  1.28315767],\n",
       "        [-4.83582784,  3.21148047],\n",
       "        [-3.47266193,  3.50545845],\n",
       "        [-3.20688585,  1.16185869],\n",
       "        [ 0.43824596, -0.49534391],\n",
       "        [-2.74436707,  0.54472433],\n",
       "        [ 0.28364173,  0.37148006],\n",
       "        [-2.16479066,  1.89356691],\n",
       "        [ 0.27470072,  0.46748327],\n",
       "        [ 1.63587309, -1.65337559],\n",
       "        [-2.55460037,  0.6339907 ],\n",
       "        [-4.06421961,  4.85075411],\n",
       "        [-2.62647066,  2.7842176 ],\n",
       "        [-1.61877199, -1.28856704],\n",
       "        [-3.37086605,  3.09784276],\n",
       "        [-2.92568834,  0.79662968],\n",
       "        [-4.41532899,  2.86808979],\n",
       "        [ 0.89545071, -0.15586753],\n",
       "        [-2.41488315,  0.2783585 ],\n",
       "        [ 0.97058016, -1.25705641],\n",
       "        [-2.45004223,  1.87998637],\n",
       "        [-4.42381123,  2.75746794],\n",
       "        [ 1.38847372, -1.19347456],\n",
       "        [ 0.28052431, -0.05315416],\n",
       "        [-2.09124452, -0.97249523],\n",
       "        [-3.98378418,  4.14632278],\n",
       "        [-2.73410305, -0.13868462],\n",
       "        [-2.39597159,  2.62408975],\n",
       "        [ 0.92380413, -0.358427  ],\n",
       "        [-1.75819555, -0.9208822 ],\n",
       "        [ 0.88623713, -0.34255002],\n",
       "        [-3.42042209,  1.36054098],\n",
       "        [ 0.70148871, -0.48910092],\n",
       "        [-1.70052594,  1.50276021],\n",
       "        [ 1.35646692, -1.62997225],\n",
       "        [ 1.2526049 , -1.05923912],\n",
       "        [ 0.1119762 ,  0.38677927],\n",
       "        [ 0.52923048, -0.52436358],\n",
       "        [ 1.77567682, -1.70941996],\n",
       "        [-2.47271918,  0.52420212],\n",
       "        [-3.34465915,  1.15875542],\n",
       "        [-3.55160928,  3.06816764],\n",
       "        [-3.54465234,  1.94947875],\n",
       "        [ 2.0652779 , -2.50646809],\n",
       "        [-3.04203486,  3.10452175],\n",
       "        [ 0.67509494, -0.52671511],\n",
       "        [-3.80136342,  1.83396855],\n",
       "        [-2.43540426, -0.22552741],\n",
       "        [-2.8828783 ,  0.5045131 ],\n",
       "        [-3.90888146,  1.57245838],\n",
       "        [-3.13466401,  3.32642676],\n",
       "        [ 1.84329859, -1.52715505],\n",
       "        [-2.92548949,  2.8900967 ],\n",
       "        [-2.67067499,  2.7372756 ],\n",
       "        [ 0.82701644, -0.07900528],\n",
       "        [-3.05302807,  0.79065358],\n",
       "        [ 0.44093133,  0.26375483],\n",
       "        [ 1.43456268, -0.75894631],\n",
       "        [-2.96281997,  3.1750689 ],\n",
       "        [ 1.82523905, -1.71172241],\n",
       "        [ 0.57596498, -0.26806475],\n",
       "        [ 1.52011579, -1.47407984],\n",
       "        [-4.04898428,  1.97094104],\n",
       "        [-2.6660346 , -0.12819955],\n",
       "        [ 0.17918899,  0.49947997],\n",
       "        [ 0.31831186, -0.35209823],\n",
       "        [-2.20224637,  1.98300592],\n",
       "        [-2.33833221,  2.0826464 ],\n",
       "        [ 1.18863952, -0.9194365 ],\n",
       "        [-3.32687124,  1.01712517],\n",
       "        [ 2.24752183, -2.29668408],\n",
       "        [-2.9561518 ,  3.54258109],\n",
       "        [ 0.77151512, -0.83718775],\n",
       "        [-2.92098888,  3.26306737],\n",
       "        [ 0.93945589, -0.68329408],\n",
       "        [-3.3272749 ,  1.39187942],\n",
       "        [ 1.03255801, -0.78804068],\n",
       "        [-1.93766509,  1.92201812],\n",
       "        [ 1.67764267, -2.5266787 ],\n",
       "        [-2.59368195,  2.99956598],\n",
       "        [-3.97694886,  2.74557548],\n",
       "        [-4.27840111,  4.98906057],\n",
       "        [-4.23087178,  1.55290201],\n",
       "        [ 0.09606714,  0.28637339],\n",
       "        [-3.87559141,  4.47407045],\n",
       "        [ 0.18376044,  0.78158935],\n",
       "        [-3.31746   ,  0.88567598],\n",
       "        [-2.96625727,  0.54941038],\n",
       "        [ 1.59324576, -1.2709032 ],\n",
       "        [-3.17764232,  2.99475025],\n",
       "        [-2.96852595,  2.90646804],\n",
       "        [-3.01002511,  3.39584809],\n",
       "        [-2.86749318,  0.25054314],\n",
       "        [-2.72278495,  0.29373251],\n",
       "        [-2.93769129,  3.25605715],\n",
       "        [ 1.4387482 , -0.94919484],\n",
       "        [-2.94388326,  3.10278659],\n",
       "        [-3.45861131,  1.62690878],\n",
       "        [ 0.29654282,  0.42376511],\n",
       "        [-0.31121109,  0.97125415],\n",
       "        [-3.47622946,  1.69406889],\n",
       "        [ 1.09869002, -1.17802432],\n",
       "        [-2.79548371,  2.97542536],\n",
       "        [ 1.24699014, -1.421101  ],\n",
       "        [-2.82585188,  2.75140804],\n",
       "        [ 1.50330406, -1.33681408],\n",
       "        [-3.67118739,  3.65755431],\n",
       "        [-3.09151933,  2.29072069],\n",
       "        [-2.63652891,  2.20560988],\n",
       "        [-2.90282881,  3.24116393],\n",
       "        [ 2.03766129, -2.05070528],\n",
       "        [-2.43797366,  0.48173254],\n",
       "        [-2.80629312,  0.90222743],\n",
       "        [-2.96650693,  1.09983743],\n",
       "        [-0.89505145,  1.36419266],\n",
       "        [-2.64558184,  2.76688141],\n",
       "        [ 1.40729679, -1.51301252],\n",
       "        [ 1.97940005, -2.27561687],\n",
       "        [ 0.99055181, -1.0597882 ],\n",
       "        [-3.12176044,  1.09860274],\n",
       "        [-4.3566815 ,  2.23641074],\n",
       "        [-1.83015843, -0.76593849],\n",
       "        [-3.16768403,  2.74651822],\n",
       "        [-3.14210356,  3.53800664],\n",
       "        [-3.65574304,  1.96080818],\n",
       "        [-3.10254375,  3.33446136],\n",
       "        [ 1.89478235, -2.07428358],\n",
       "        [-3.50163699,  1.86021942],\n",
       "        [-0.05515713,  1.03474756],\n",
       "        [-2.91692505,  2.35477884],\n",
       "        [-3.15960783,  0.80269905],\n",
       "        [-3.34112078,  0.94157366],\n",
       "        [-2.2046146 ,  1.8477237 ],\n",
       "        [-3.55429233,  0.93737912],\n",
       "        [-1.84320874,  2.11996253],\n",
       "        [-4.47341421,  5.0076917 ],\n",
       "        [ 0.71820956, -0.39947404],\n",
       "        [-2.1766938 ,  2.05334819],\n",
       "        [-2.41659039,  2.31966608],\n",
       "        [-2.48000623,  0.35996719],\n",
       "        [-3.29428045,  3.18679147],\n",
       "        [-3.66624647,  1.59844175],\n",
       "        [-1.54386488,  1.08599953],\n",
       "        [-1.45163012,  1.81017594],\n",
       "        [-2.12200842,  2.27954882],\n",
       "        [-4.07434063,  4.27514095],\n",
       "        [-2.08693672, -0.71354126],\n",
       "        [-0.53175637,  1.18607658],\n",
       "        [-2.35006699,  2.92470104],\n",
       "        [ 2.45484717, -2.53125552],\n",
       "        [-3.87916736,  2.12150118],\n",
       "        [-3.56442732,  0.91696245],\n",
       "        [ 1.74515862, -1.90659214],\n",
       "        [-3.41320244,  0.97989439],\n",
       "        [-2.6261557 ,  0.31826194],\n",
       "        [-3.35283804,  0.80731368],\n",
       "        [ 0.54586161, -0.39076614],\n",
       "        [-2.20790168,  1.66267917],\n",
       "        [ 1.52572087, -1.02100381],\n",
       "        [-3.30101549,  1.57016489],\n",
       "        [-2.96815201,  3.97513909],\n",
       "        [-2.30254312,  1.93501533],\n",
       "        [ 1.77713601, -1.24393571],\n",
       "        [ 1.24666247, -0.89345792],\n",
       "        [-2.99504362,  1.15123321],\n",
       "        [-3.35481155,  1.55626753],\n",
       "        [-4.38699877,  2.36949387],\n",
       "        [ 1.94381321, -1.21180577],\n",
       "        [-2.68361515,  0.60665558],\n",
       "        [ 0.97295764, -1.15941526],\n",
       "        [ 2.20290155, -2.36756781],\n",
       "        [-4.26079834,  4.71100238],\n",
       "        [-2.9565255 ,  1.1507441 ],\n",
       "        [ 1.88756524, -2.00706484],\n",
       "        [-2.69044564,  0.67849768],\n",
       "        [-3.08266049,  3.52596398],\n",
       "        [ 0.6726994 , -0.38332332],\n",
       "        [ 0.20202782, -0.20623256],\n",
       "        [ 1.27641076, -1.53771363],\n",
       "        [ 0.58246432, -0.21684574],\n",
       "        [-3.47605575,  1.55634797],\n",
       "        [-2.03853604,  1.12647588],\n",
       "        [-3.47220883,  3.88393945],\n",
       "        [-2.93715042,  0.9856219 ],\n",
       "        [-2.19022971,  1.74548278],\n",
       "        [-3.57726179,  1.67782949],\n",
       "        [-3.16585539,  4.25460424],\n",
       "        [ 0.578755  , -0.36909707],\n",
       "        [-4.43314564,  5.09842878],\n",
       "        [-3.30701894,  2.93089057],\n",
       "        [-1.94819369,  1.86985409],\n",
       "        [-3.75628365,  1.33181076],\n",
       "        [ 0.46495294, -0.75712532],\n",
       "        [ 0.37461373, -0.06866402],\n",
       "        [-3.69134781,  1.8524991 ],\n",
       "        [-2.69598838,  2.61793524],\n",
       "        [-2.50510833, -0.03879004],\n",
       "        [ 1.84349462, -1.75856391],\n",
       "        [-2.4222079 ,  2.14125928],\n",
       "        [-4.39204704,  2.9851164 ],\n",
       "        [ 0.93287368, -0.6980433 ]]),\n",
       " array([2, 2, 1, 2, 0, 1, 2, 1, 0, 0, 1, 0, 2, 0, 1, 2, 1, 2, 2, 1, 2, 1,\n",
       "        0, 1, 1, 1, 2, 1, 1, 2, 0, 2, 2, 1, 1, 0, 1, 1, 1, 0, 1, 1, 2, 0,\n",
       "        0, 2, 0, 2, 2, 2, 2, 1, 0, 1, 2, 0, 2, 2, 0, 2, 0, 2, 2, 1, 1, 0,\n",
       "        2, 2, 1, 1, 1, 0, 2, 0, 2, 1, 2, 2, 1, 2, 0, 1, 2, 1, 2, 2, 2, 2,\n",
       "        2, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 2, 2, 2, 0, 2, 1, 1, 1,\n",
       "        1, 2, 2, 2, 1, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 2, 2, 1, 0, 1,\n",
       "        2, 1, 2, 0, 0, 2, 0, 2, 1, 2, 0, 1, 1, 1, 2, 0, 0, 1, 2, 1, 0, 0,\n",
       "        2, 0, 0, 0, 2, 2, 1, 0, 1, 0, 2, 2, 0, 1, 2, 0, 1, 2, 1, 2, 2, 0,\n",
       "        0, 0, 2, 1, 0, 0, 2, 1, 1, 1, 1, 1, 2, 0, 1, 0, 0, 1, 0, 1, 0, 0,\n",
       "        1, 1, 0, 0, 0, 0, 2, 0, 0, 2, 1, 1, 0, 1, 1, 2, 2, 0, 0, 0, 0, 1,\n",
       "        1, 1, 0, 2, 1, 1, 0, 1, 2, 1, 2, 0, 0, 0, 0, 2, 2, 0, 0, 1, 1, 2,\n",
       "        1, 0, 2, 0, 2, 2, 2, 1, 1, 0, 1, 2, 0, 0, 1, 2, 0, 0, 1, 2, 0, 2,\n",
       "        1, 2, 2, 2, 0, 2, 0, 2, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 2, 1, 2,\n",
       "        1, 0, 0, 1, 1, 0, 2, 2, 0, 0, 1, 2, 0, 0, 0, 1, 0, 2, 0, 2, 1, 2,\n",
       "        2, 0, 1, 1, 0, 1, 0, 0, 2, 0, 2, 1, 0, 2, 2, 0, 1, 0, 1, 2, 0, 2,\n",
       "        0, 2, 1, 2, 2, 2, 2, 2, 0, 0, 1, 0, 2, 1, 2, 0, 0, 0, 0, 1, 2, 1,\n",
       "        1, 2, 0, 2, 2, 1, 2, 2, 2, 0, 0, 2, 2, 1, 1, 2, 0, 2, 1, 2, 1, 2,\n",
       "        0, 2, 1, 2, 1, 0, 1, 0, 2, 1, 2, 0, 0, 2, 1, 1, 1, 0, 0, 1, 2, 1,\n",
       "        0, 2, 2, 0, 2, 1, 2, 1, 2, 1, 1, 1, 1, 2, 0, 0, 0, 2, 1, 2, 2, 2,\n",
       "        0, 0, 0, 1, 1, 0, 1, 2, 0, 2, 1, 0, 0, 1, 0, 1, 1, 2, 1, 1, 0, 1,\n",
       "        0, 1, 1, 1, 1, 0, 2, 1, 2, 0, 0, 2, 0, 0, 0, 2, 1, 2, 0, 1, 1, 2,\n",
       "        2, 0, 0, 0, 2, 0, 2, 2, 1, 0, 2, 0, 1, 2, 2, 2, 2, 0, 1, 1, 0, 1,\n",
       "        0, 1, 2, 1, 1, 1, 0, 2, 2, 0, 1, 0, 2, 1, 0, 2]))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4431bd98",
   "metadata": {},
   "outputs": [],
   "source": [
    "# blobs with varied variances\n",
    "varied = datasets.make_blobs(\n",
    "    n_samples=n_samples, cluster_std=[1.0, 2.5, 0.5], random_state=random_state)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8e9d926b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 3300x2000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ============\n",
    "# Set up cluster parameters\n",
    "# ============\n",
    "plt.figure(figsize=(9 * 2 + 3, 13))\n",
    "plt.subplots_adjust(left=0.02, right=0.98, bottom=0.001, top=0.95, wspace=0.05, hspace=0.01)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "88d93569",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_num = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cfdb07f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "default_base = {\n",
    "    \"quantile\": 0.3,\n",
    "    \"eps\": 0.3,\n",
    "    \"damping\": 0.9,\n",
    "    \"preference\": -200,\n",
    "    \"n_neighbors\": 3,\n",
    "    \"n_clusters\": 3,\n",
    "    \"min_samples\": 7,\n",
    "    \"xi\": 0.05,\n",
    "    \"min_cluster_size\": 0.1,\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "38a4bc9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "datasets = [\n",
    "    (\n",
    "        noisy_circles,\n",
    "        {\n",
    "            \"damping\": 0.77,\n",
    "            \"preference\": -240,\n",
    "            \"quantile\": 0.2,\n",
    "            \"n_clusters\": 2,\n",
    "            \"min_samples\": 7,\n",
    "            \"xi\": 0.08,\n",
    "        },\n",
    "    ),\n",
    "    (\n",
    "        noisy_moons,\n",
    "        {\n",
    "            \"damping\": 0.75,\n",
    "            \"preference\": -220,\n",
    "            \"n_clusters\": 2,\n",
    "            \"min_samples\": 7,\n",
    "            \"xi\": 0.1,\n",
    "        },\n",
    "    ),\n",
    "    (\n",
    "        varied,\n",
    "        {\n",
    "            \"eps\": 0.18,\n",
    "            \"n_neighbors\": 2,\n",
    "            \"min_samples\": 7,\n",
    "            \"xi\": 0.01,\n",
    "            \"min_cluster_size\": 0.2,\n",
    "        },\n",
    "    ),\n",
    "    (\n",
    "        aniso,\n",
    "        {\n",
    "            \"eps\": 0.15,\n",
    "            \"n_neighbors\": 2,\n",
    "            \"min_samples\": 7,\n",
    "            \"xi\": 0.1,\n",
    "            \"min_cluster_size\": 0.2,\n",
    "        },\n",
    "    ),\n",
    "    (blobs, {\"min_samples\": 7, \"xi\": 0.1, \"min_cluster_size\": 0.2}),\n",
    "    (no_structure, {}),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "be797ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 60 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i_dataset, (dataset, algo_params) in enumerate(datasets):\n",
    "    # update parameters with dataset-specific values\n",
    "    params = default_base.copy()\n",
    "    params.update(algo_params)\n",
    "\n",
    "    X, y = dataset\n",
    "\n",
    "    # normalize dataset for easier parameter selection\n",
    "    X = StandardScaler().fit_transform(X)\n",
    "\n",
    "    # estimate bandwidth for mean shift\n",
    "    bandwidth = cluster.estimate_bandwidth(X, quantile=params[\"quantile\"])\n",
    "\n",
    "    # connectivity matrix for structured Ward\n",
    "    connectivity = kneighbors_graph(\n",
    "        X, n_neighbors=params[\"n_neighbors\"], include_self=False\n",
    "    )\n",
    "    # make connectivity symmetric\n",
    "    connectivity = 0.5 * (connectivity + connectivity.T)\n",
    "\n",
    "    # ============\n",
    "    # Create cluster objects\n",
    "    # ============\n",
    "    ms = cluster.MeanShift(bandwidth=bandwidth, bin_seeding=True)\n",
    "    two_means = cluster.MiniBatchKMeans(n_clusters=params[\"n_clusters\"])\n",
    "    ward = cluster.AgglomerativeClustering(\n",
    "        n_clusters=params[\"n_clusters\"], linkage=\"ward\", connectivity=connectivity)\n",
    "    \n",
    "    spectral = cluster.SpectralClustering(\n",
    "        n_clusters=params[\"n_clusters\"],\n",
    "        eigen_solver=\"arpack\",\n",
    "        affinity=\"nearest_neighbors\",)\n",
    "    \n",
    "    dbscan = cluster.DBSCAN(eps=params[\"eps\"])\n",
    "    \n",
    "    optics = cluster.OPTICS(\n",
    "        min_samples=params[\"min_samples\"],\n",
    "        xi=params[\"xi\"],\n",
    "        min_cluster_size=params[\"min_cluster_size\"],)\n",
    "    \n",
    "    affinity_propagation = cluster.AffinityPropagation(\n",
    "        damping=params[\"damping\"], preference=params[\"preference\"], random_state=0)\n",
    "    \n",
    "    \n",
    "    average_linkage = cluster.AgglomerativeClustering(\n",
    "        linkage=\"average\",\n",
    "        affinity=\"cityblock\",\n",
    "        n_clusters=params[\"n_clusters\"],\n",
    "        connectivity=connectivity,)\n",
    "    \n",
    "    birch = cluster.Birch(n_clusters=params[\"n_clusters\"])\n",
    "    gmm = mixture.GaussianMixture(\n",
    "        n_components=params[\"n_clusters\"], covariance_type=\"full\")\n",
    "    \n",
    "    dtc = \n",
    "\n",
    "    clustering_algorithms = (\n",
    "        (\"MiniBatch\\nKMeans\", two_means),\n",
    "        (\"Affinity\\nPropagation\", affinity_propagation),\n",
    "        (\"MeanShift\", ms),\n",
    "        (\"Spectral\\nClustering\", spectral),\n",
    "        (\"Ward\", ward),\n",
    "        (\"Agglomerative\\nClustering\", average_linkage),\n",
    "        (\"DBSCAN\", dbscan),\n",
    "        (\"OPTICS\", optics),\n",
    "        (\"BIRCH\", birch),\n",
    "        (\"Gaussian\\nMixture\", gmm),\n",
    "    )\n",
    "\n",
    "    for name, algorithm in clustering_algorithms:\n",
    "        t0 = time.time()\n",
    "\n",
    "        # catch warnings related to kneighbors_graph\n",
    "        with warnings.catch_warnings():\n",
    "            warnings.filterwarnings(\n",
    "                \"ignore\",\n",
    "                message=\"the number of connected components of the \"\n",
    "                + \"connectivity matrix is [0-9]{1,2}\"\n",
    "                + \" > 1. Completing it to avoid stopping the tree early.\",\n",
    "                category=UserWarning,\n",
    "            )\n",
    "            warnings.filterwarnings(\n",
    "                \"ignore\",\n",
    "                message=\"Graph is not fully connected, spectral embedding\"\n",
    "                + \" may not work as expected.\",\n",
    "                category=UserWarning,\n",
    "            )\n",
    "            algorithm.fit(X)\n",
    "\n",
    "        t1 = time.time()\n",
    "        if hasattr(algorithm, \"labels_\"):\n",
    "            y_pred = algorithm.labels_.astype(int)\n",
    "        else:\n",
    "            y_pred = algorithm.predict(X)\n",
    "\n",
    "        plt.subplot(len(datasets), len(clustering_algorithms), plot_num)\n",
    "        if i_dataset == 0:\n",
    "            plt.title(name, size=18)\n",
    "\n",
    "        colors = np.array(\n",
    "            list(\n",
    "                islice(\n",
    "                    cycle(\n",
    "                        [\n",
    "                            \"#377eb8\",\n",
    "                            \"#ff7f00\",\n",
    "                            \"#4daf4a\",\n",
    "                            \"#f781bf\",\n",
    "                            \"#a65628\",\n",
    "                            \"#984ea3\",\n",
    "                            \"#999999\",\n",
    "                            \"#e41a1c\",\n",
    "                            \"#dede00\",\n",
    "                        ]\n",
    "                    ),\n",
    "                    int(max(y_pred) + 1),\n",
    "                )\n",
    "            )\n",
    "        )\n",
    "        # add black color for outliers (if any)\n",
    "        colors = np.append(colors, [\"#000000\"])\n",
    "        plt.scatter(X[:, 0], X[:, 1], s=10, color=colors[y_pred])\n",
    "\n",
    "        plt.xlim(-2.5, 2.5)\n",
    "        plt.ylim(-2.5, 2.5)\n",
    "        plt.xticks(())\n",
    "        plt.yticks(())\n",
    "        plt.text(\n",
    "            0.99,\n",
    "            0.01,\n",
    "            (\"%.2fs\" % (t1 - t0)).lstrip(\"0\"),\n",
    "            transform=plt.gca().transAxes,\n",
    "            size=15,\n",
    "            horizontalalignment=\"right\",\n",
    "        )\n",
    "        plot_num += 1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8700dd8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ded1506",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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