{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem\t1 [Testing\tFaith]\n",
"Download\tthe\t“old\t faithful”\tdata set\tfrom\tblackboard.\tThis\tcontains samples\tof\ta\t2-D\trandom\tvariable:\t\n",
"the\t first\tdimension\tis\tthe\tduration\tof\tthe\told\t faithful\tgeyser\teruptions.\tThe\tsecond\tis\tthe\twaiting\t time\t\n",
"between\teruptions. Generate\ta\t2-D\tscatter\tplot\tof\tthe\tdata.\tRun\ta\tk-means\tclustering\troutine\ton\tthe\tdata\t\n",
"for\tk=2.\tShow\tthe\ttwo\tclusters\tin\ta\tscatterplot"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"from sklearn.cluster import KMeans\n",
"import seaborn as sns\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
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