Assessing Cluster Analysis Results
Journal of Marketing ResearchPublished 1 February 1983
Ted Klastorin
Citations74
SJR quartileQ1
SJR score6.96
SNIP2.42
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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.
Keywords
Computer Science
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