Finite mixture models and model-based clustering
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2010-01-01
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Melnykov, Volodymyr
Maitra, Ranjan
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Statistics
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Abstract
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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This article is from Statistics Surveys 4 (2010): 80, doi: 10.1214/09-SS053. Posted with permission.
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Fri Jan 01 00:00:00 UTC 2010