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DeSarbo, Wayne S.; Fong, Duncan K. H.; Liechty, John; Saxton, M. Kim – Psychometrika, 2004
This manuscript introduces a new Bayesian finite mixture methodology for the joint clustering of row and column stimuli/objects associated with two-mode asymmetric proximity, dominance, or profile data. That is, common clusters are derived which partition both the row and column stimuli/objects simultaneously into the same derived set of clusters.…
Descriptors: Bayesian Statistics, Multivariate Analysis, Monte Carlo Methods, Consumer Economics