2013-03-07-k-means

Table of Contents

1 Implement k-means Clustering    slide

  • Very small data set
  • Select starting centroids
  • Find new centroids
  • Stop after centroid moves less than err

2 Code    slide

  • code/k_means.py
  • zip combine lists by alternating members
zip([1,2,3], ['one', 'two', 'three'])
[(1, 'one'), (2, 'two'), (3, 'three')]

Date: 2013-03-08 00:36:16 PST

Author: Jim Blomo

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