Finite mixture models and model-based clustering

Date
2010-01-01
Authors
Melnykov, Volodymyr
Maitra, Ranjan
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Statistics
Organizational Unit
Journal Issue
Series
Department
Statistics
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.

Description
Keywords
Citation
DOI
Collections