Difference between revisions of "10-601B Clustering"
From Cohen Courses
Jump to navigationJump to search| Line 11: | Line 11: | ||
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
| − | + | *Partitional Clustering. k-means and k-means ++ | |
| − | * Lloyd’s method | + | ** Lloyd’s method |
| − | * Initialization techniques (random, furthest traversal, k-means++) | + | ** Initialization techniques (random, furthest traversal, k-means++) |
| − | |||
* Hierarchical Clustering. | * Hierarchical Clustering. | ||
** Single linkage, Complete linkage | ** Single linkage, Complete linkage | ||
Revision as of 21:45, 2 March 2016
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
