Assessing Cluster Analysis Results

Abstract

The problem of statistically assessing cluster analysis results is discussed; several measures based on both within-group homogeneity and between-group heterogeneity are defined. Permutation distributions for these measures are defined and expressions are derived for easily calculating the parameters of these distributions. Using these measures and their respective distributions, one can test whether given clusters significantly differ from clusters which are randomly determined.