Campus Units

Statistics

Document Type

Article

Publication Date

2010

Journal or Book Title

Statistics Surveys

Volume

4

First Page

80

Last Page

116

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.

Comments

This article is from Statistics Surveys 4 (2010): 80, doi: 10.1214/09-SS053. Posted with permission.

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

Language

en

File Format

application/pdf

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