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examples/three_clusters.py

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+from pandas import DataFrame,Series
+import pandas as pd
+import numpy as np
+import sys
+import os
+
+sys.path = [os.path.abspath("..")] + sys.path
+
+from k_means_plus_plus import *
+
+np.random.seed(1234) #For reproducibility
+
+# We create a data set with three sets of 500 points each chosen from a normal distrubution with a standard deviation of 10.
+# The means for the distributions from which we sample are (25,45), (-30,5), and (5,-20)
+data = DataFrame({'x':10*np.random.randn(500) + 25,'y':10*np.random.randn(500) + 45},columns=list('xy'))
+data = data.append(DataFrame({'x':10*np.random.randn(500) - 30,'y':10*np.random.randn(500) + 5},columns=list('xy')))
+data = data.append(DataFrame({'x':10*np.random.randn(500) + 5,'y':10*np.random.randn(500) - 20},columns=list('xy')))
+
+# Grab a scatterplot
+import matplotlib.pyplot as plt
+plt.scatter(data['x'],data['y'],s=5)
+plt.savefig("three_clusters_scatterplot.png")
+
+# Cluster
+kmpp = KMeansPlusPlus(data,3)
+kmpp.cluster()
+kmpp.centers
+
+# Get a scatterplot that's color-coded by cluster
+colors = ["red" if x == 0 else "blue" if x == 1 else "green" for x in kmpp.clusters]
+plt.scatter(data['x'],data['y'],s=5,c=colors)
+plt.savefig("three_clusters_clusters.png")