Finite mixture models and model-based clustering
| dc.contributor.author | Melnykov, Volodymyr | |
| dc.contributor.author | Maitra, Ranjan | |
| dc.contributor.author | Maitra, Ranjan | |
| dc.contributor.department | Statistics (LAS) | |
| 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.isAuthorOfPublication | 461ce0bf-36aa-4bb9-b932-789dacd4065d | |
| relation.isOrgUnitOfPublication | 264904d9-9e66-4169-8e11-034e537ddbca |
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