%0 Journal Article
%T Finite mixture models and model-based clustering
%A Volodymyr Melnykov
%A Ranjan Maitra
%J Statistics Surveys
%D 2010
%I Statistics Surveys
%X 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.
%K EM algorithm
%K Model selection
%K Variable selection
%K Diagnostics
%K Two-dimensional gel electrophoresis data
%K Proteomics
%K Text mining
%K Magnitude magnetic resonance images
%U http://projecteuclid.org/euclid.ssu/1272547280