Article
Finite mixture models and model-based clustering
Statistics Surveys
Document Type
Article
Disciplines
Publication Date
1-1-2010
DOI
10.1214/09-SS053
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.
Rights
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright Owner
The Authors
Copyright Date
2010
Language
en
File Format
application/pdf
Citation Information
Volodymyr Melnykov and Ranjan Maitra. "Finite mixture models and model-based clustering" Statistics Surveys Vol. 4 (2010) p. 80 - 116 Available at: http://works.bepress.com/ranjan-maitra/2/
This article is from Statistics Surveys 4 (2010): 80, doi: 10.1214/09-SS053. Posted with permission.