10-601 DR
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Jump to navigationJump to searchThis a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides
Readings
Bishop's Chapter 9
Mitchell 6.12 also has a nice description of EM and k-means.
What You Should Know Afterward
- Linkage methods
- Bottom up vs. top down clustering
- Run time of different clustering methods
- Assumptions, advntages and disadvantages of each method
- (optional) Optimal leaf ordering
- (optional) Spectral clustering
- (optional) Self organizing maps