Treatment of ties in the input matrix. Yule, Jaccard, Sorensen, Ochiai. Euclidean distance, Mahalanobis generalized distance, Chord distance, Angular separation, Penrose size and shape, Balakrishnan-Shangvi, Horn. User supplied distance matrix. Gower general index for mixed data.
Monothetic divisions based on mutual information or information fall for variables.
Minimum spanning trees. Quick clustering of very large data sets, using most of the coefficients listed above. Fuzzy c-means clustering. Principal components analysis based on cross products, covariances or correlations. Canonical correlation analysis.