Bayesian cluster analysis

1978/01/01 by David A. Binder · 5 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Advanced Clustering Algorithms Research #Advanced Statistical Methods and Models

paper · doi:10.1093/biomet/65.1.31

openalex publication_date 1978/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity matrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework. Some existing cluster analysis techniques are derived as special limiting cases. The results of the procedure applied to two data sets are compared with other analyses.

Citations

• THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
• Equation of State Calculations by Fast Computing Machines
• Multiple Range and Multiple F Tests
• A Cluster Analysis Method for Grouping Means in the Analysis of Variance

Cited by

• Approximations to Bayesian clustering rules
• Model-based clustering in very high dimensions via adaptive projections
• Bayesian inference on the number of recurrent events: A joint model of recurrence and survival
• Optimal Bayesian clustering using non-negative matrix factorization
• Statistical classification [wikipedia]