10-601B Clustering

From Cohen Courses
Revision as of 11:24, 8 March 2016 by Tdick (talk | contribs) (→‎Slides)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigationJump to search

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
Retrieved from "http://curtis.ml.cmu.edu/w/courses/index.php?title=10-601B_Clustering&oldid=18398"