10-601B Clustering

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

Slides

• Slides in pdf
• Slides in ppt

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