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