- Statist. Surv.
- Volume 4 (2010), 80-116.
Finite mixture models and model-based clustering
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.
Statist. Surv., Volume 4 (2010), 80-116.
First available in Project Euclid: 29 April 2010
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Melnykov, Volodymyr; Maitra, Ranjan. Finite mixture models and model-based clustering. Statist. Surv. 4 (2010), 80--116. doi:10.1214/09-SS053. https://projecteuclid.org/euclid.ssu/1272547280