Hierarchical Clustering
This is a part of Cluster Analysis: we want to build a hierarchy of clusters
Two major approaches:
- Agglomerative Clustering: This is a “bottom up” approach: each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy.
- Divisive Clustering: This is a “top down” approach: all observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.
Links
- http://www.cs.princeton.edu/courses/archive/spr08/cos424/slides/clustering-2.pdf
Sources
- http://en.wikipedia.org/wiki/Hierarchical_clustering