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