10-601B Clustering

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This a pair of lectures used in the Syllabus for Machine Learning 10-601B in Spring 2016.

Slides

Readings

  • Murphy 25.5

What You Should Know Afterward

    • Partitional Clustering. k-means and k-means ++
  • Lloyd’s method
  • Initialization techniques (random, furthest traversal, k-means++)


  • Hierarchical Clustering.
    • Single linkage, Complete linkage
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