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
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- 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