Page 134 - Data Science Algorithms in a Week

Clustering into K Clusters

0.4011627907), 0), ((0.125, 1.0), 0), ((0.625, 0.0058139535), 1), ((1.0,
0.0), 1), ((0.5, 0.0058139535), 1), ((0.375, 0.0174418605), 0), ((0.5,
0.0174418605), 1), ((0.75, 0.0174418605), 1)]
centroids = [(0.0, 0.0406976744), (1.0, 0.0)]
Step number 1: point_groups = [((0.0, 0.0406976744), 0), ((0.0,
0.0988372093), 0), ((0.125, 0.0581395349), 0), ((0.0, 0.1860465116), 0),
((0.0, 0.0348837209), 0), ((0.0, 0.1569767442), 0), ((0.0, 0.0348837209),
0), ((0.25, 0.3430232558), 0), ((0.25, 0.261627907), 0), ((0.125,
0.4011627907), 0), ((0.125, 1.0), 0), ((0.625, 0.0058139535), 1), ((1.0,
0.0), 1), ((0.5, 0.0058139535), 1), ((0.375, 0.0174418605), 1), ((0.5,
0.0174418605), 1), ((0.75, 0.0174418605), 1)]
centroids = [(0.10416666666666667, 0.21947674418333332), (0.675,
0.0093023256)]
Step number 2: point_groups = [((0.0, 0.0406976744), 0), ((0.0,
0.0988372093), 0), ((0.125, 0.0581395349), 0), ((0.0, 0.1860465116), 0),
((0.0, 0.0348837209), 0), ((0.0, 0.1569767442), 0), ((0.0, 0.0348837209),
0), ((0.25, 0.3430232558), 0), ((0.25, 0.261627907), 0), ((0.125,
0.4011627907), 0), ((0.125, 1.0), 0), ((0.625, 0.0058139535), 1), ((1.0,
0.0), 1), ((0.5, 0.0058139535), 1), ((0.375, 0.0174418605), 1), ((0.5,
0.0174418605), 1), ((0.75, 0.0174418605), 1)]
centroids = [(0.07954545454545454, 0.2378435517909091), (0.625,
0.01065891475)]

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