Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributio...
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
We propose a novel method for multiple clustering, which is useful for analysis of high-dimensional data containing heterogeneous types of features. Our method is based on nonparametric Bayesian mixture models in which features are automatically partitioned (into views) for each clustering solution. This feature partition works as feature selection...
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Full title
Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions
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TN_cdi_plos_journals_1953158053
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1953158053
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0186566
