Open Access
2010 Finite mixture models and model-based clustering
Volodymyr Melnykov, Ranjan Maitra
Statist. Surv. 4: 80-116 (2010). DOI: 10.1214/09-SS053


Finite mixture models have a long history in statistics, having been used to model population heterogeneity, generalize distributional assumptions, and lately, for providing a convenient yet formal framework for clustering and classification. This paper provides a detailed review into mixture models and model-based clustering. Recent trends as well as open problems in the area are also discussed.


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Volodymyr Melnykov. Ranjan Maitra. "Finite mixture models and model-based clustering." Statist. Surv. 4 80 - 116, 2010.


Published: 2010
First available in Project Euclid: 29 April 2010

zbMATH: 1190.62121
MathSciNet: MR2644009
Digital Object Identifier: 10.1214/09-SS053

Keywords: diagnostics , EM algorithm , magnitude magnetic resonance images , Model selection , proteomics , text mining , two-dimensional gel electrophoresis data , Variable selection

Rights: Copyright © 2010 The author, under a Creative Commons Attribution License

Vol.4 • 2010
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