{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "##Results\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "# We run the following SciPy and NumPy code in [1] \n", "# and generate the plots mentioned above using Matplotlib \n", "\n", "# load the UN dataset transformed to float with 4 numeric columns, \n", "# lifeMale,lifeFemale,infantMortality and GDPperCapita\n", "\n", "fName = ('../datasets/UN4col.csv')\n", "fp = open(fName)\n", "X = np.loadtxt(fp)\n", "fp.close()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\n", "from scipy.cluster.vq import kmeans,vq\n", "from scipy.spatial.distance import cdist\n", "import matplotlib.pyplot as plt\n", "\n", "##### cluster data into K=1..10 clusters #####\n", "#K, KM, centroids,D_k,cIdx,dist,avgWithinSS = kmeans.run_kmeans(X,10)\n", "\n", "K = range(1,10)\n", "\n", " # scipy.cluster.vq.kmeans\n", "KM = [kmeans(X,k) for k in K] # apply kmeans 1 to 10\n", "centroids = [cent for (cent,var) in KM] # cluster centroids\n", "\n", "D_k = [cdist(X, cent, 'euclidean') for cent in centroids]\n", "\n", "cIdx = [np.argmin(D,axis=1) for D in D_k]\n", "dist = [np.min(D,axis=1) for D in D_k]\n", "avgWithinSS = [sum(d)/X.shape[0] for d in dist] \n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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w9fUlICAAJ6fba3ijQQO47z6IibF3EiGEsD+LYxY//PADr732Gn369KFGjRqm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\nIiLIycnhjTfe4KmnntIsrFakWIiqdP6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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "kIdx = 2\n", "# plot elbow curve\n", "fig = plt.figure()\n", "ax = fig.add_subplot(111)\n", "ax.plot(K, avgWithinSS, 'b*-')\n", "ax.plot(K[kIdx], avgWithinSS[kIdx], marker='o', markersize=12, \n", " markeredgewidth=2, markeredgecolor='r', markerfacecolor='None')\n", "plt.grid(True)\n", "plt.xlabel('Number of clusters')\n", "plt.ylabel('Average within-cluster sum of squares')\n", "tt = plt.title('Elbow for K-Means clustering') \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So we see that a good K to use in our model would be 3.\n", "We now use the KMeans modeling software to fit clusters to our data and then plot how the software has clustered our data.\n", "In this case we look at how the data cluster when we plot Infant Mortality against GDP." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from sklearn.cluster import KMeans\n", "km = KMeans(3, init='k-means++') # initialize\n", "km.fit(X)\n", "c = km.predict(X) # classify into three clusters" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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NDb/nXx1vvvkm/P39MWnSpDo7R33PxltnjeiBgYEICgoSGr0A4NixY9i/fz8u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\nL6q25yrMB9gVWPeI6W9pFXp9PElJO+waRNUG8WPH5gF3ote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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "# see the code in helper library kmeans.py\n", "# it wraps a number of variables and maps integers to categoriy labels\n", "# this wrapper makes it easy to interact with this code and try other variables\n", "# as we see below in the next plot\n", "import kmeans as mykm\n", "(pl0,pl1,pl2) = mykm.plot_clusters(X,c,3,2) # column 3 GDP, vs column 2 infant mortality. Note indexing is 0 based" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we see some patterns, obvious in retrospect. The countries with GDP (in US Dollars) below 10K have rapidly rising infant mortality as GDP drops. On the other hand as GDP rises we see rapidly decreasing infant mortality, which is as we know, a correlate of financial prosperity, i.e. high GDP.\n", "\n", "We also see 3 clusters which we can informally call, the underdeveloped, the developing and the developed countries, based on, respectively, GDP (in US Dollars) below 10K, between 10K and 20K and finally greater than 20K.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "What would happen if we tried other dimensions to cluster on, say lifeMale and GDPperCapita.\n", "Let's see." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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xaA+kzMw0zp0z7mllq+6rZZ3eoipOi1FdVflkYa630YJxC1gwbkGpb9JFj10e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\nHFq3bo23tzcA06dPJyUlhejoaOPANBp7hCWEENW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}, "metadata": {}, "output_type": "display_data" } ], "source": [ "(pl0,pl1,pl2) = mykm.plot_clusters(X,c,3,0,False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And similarly with lifeFemale vs GDPperCapita.\n" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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j7o5q1Ih+Z88a97dWJVb+s7mip1NNcOUALXue7mtCdRuqr8nxCNcpmxMJhoWF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\nQohV1FgQQgix6i95zYlxZuL5gQAAAABJRU5ErkJggg==\n" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "(pl0,pl1,pl2) = mykm.plot_clusters(X,c,3,1,False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In both the last two cases we see an opposite trend to infant mortality, where life expectancy rises rapidly as GDP grows, but drop precipitously even to below 40 yrs for countries with the lowest GDP." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sections of code above are taken from a StackOverflow discussion [1]. \n", "Authorship of these segments is due to user Amro [2] on StackOverflow. \n", "The discussion [1] has greater detail and more extensive examples and the reader is referred there for more depth." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercise\n", "* Follow the link to the StackOverflow discussion [1]. \n", "* Look at the handwriting recognition dataset. \n", "* Import it and run the code in the rest of the discussion. \n", "* Do you get similar results?\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##References\n", "[1] http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means \n", "[2] http://stackoverflow.com/users/97160/amro" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", "" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.core.display import HTML\n", "def css_styling():\n", " styles = open(\"../styles/custom.css\", \"r\").read()\n", " return HTML(styles)\n", "css_styling()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.8" } }, "nbformat": 4, "nbformat_minor": 0 }