ORDER STATA
Cluster analysis
Hierarchical clustering 
- Single linkage
- Complete linkage
- Average linkage
- Ward’s linkage (including Ward’s method)
- Weighted-average linkage
- Centroid linkage
- Median linkage
Nonhierarchical
- Kmeans
- Kmedians
Cluster on observations
Cluster using any dissimilarity matrix
Dendrograms
- Full trees
- Subtrees
- Upper portion of tree
- Vertical or horizontal orientation
- Branch counts
Stopping rules
- Calínski and Harabasz pseudo-F index
- Duda and Hart Je(2)/Je(1) index
Support tools
- Generate summary and grouping variables
- Attach notes to analyses
Similarity/dissimilarity measures for continuous data
- L2/Euclidean
- L1/absolute/cityblock/manhattan
- L(#)
- Canberra
- Correlation
- Angular
Similarity/dissimilarity measures for binary data
- Matching
- Jaccard
- Russell
- Hamann
- Dice
- Antidice
- Sneath
- Rogers
- Ochiai
- Yule
- Anderberg
- Kulczynski
- Gower2
- Pearson
Gower measure for mixed binary and continuous data
Result-management utilities
- Directory-style listing
- Detailed listing of clusters
- Drop cluster analyses
- Mark a cluster analysis as the most recent one
- Rename a cluster
User-extensible commands
- Ability to add new clustering methods and utilities
- Full set of tools to ease making additions
Additional resources
- Multivariate Statistics Reference Manual, especially
- Introduction to cluster analysis commands
