Finite mixture models and model-based clustering

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dc.contributor.author Melnykov, Volodymyr
dc.contributor.author Maitra, Ranjan
dc.contributor.department Statistics
dc.date 2018-02-17T18:24:42.000
dc.date.accessioned 2020-07-02T06:58:00Z
dc.date.available 2020-07-02T06:58:00Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2010
dc.date.issued 2010-01-01
dc.description.abstract <p>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.</p>
dc.description.comments <p>This article is from <em>Statistics Surveys</em> 4 (2010): 80, doi: <a href="http://dx.doi.org/10.1214/09-SS053" target="_blank">10.1214/09-SS053</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/stat_las_pubs/67/
dc.identifier.articleid 1069
dc.identifier.contextkey 8807685
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/67
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90667
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_pubs/67/2010_MaitraR_FiniteMixtureModels.pdf|||Sat Jan 15 01:27:04 UTC 2022
dc.source.uri 10.1214/09-SS053
dc.subject.disciplines Statistics and Probability
dc.subject.keywords EM algorithm
dc.subject.keywords model selection
dc.subject.keywords variable selec- tion
dc.subject.keywords diagnostics
dc.subject.keywords two-dimensional gel electrophoresis data
dc.subject.keywords proteomics
dc.subject.keywords text mining
dc.subject.keywords magnitude magnetic resonance images
dc.title Finite mixture models and model-based clustering
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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