Automatic selection of the number of clusters using Bayesian clustering and sparsity-inducing priors
Automatic selection of the number of clusters using Bayesian clustering and sparsity-inducing priors
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Publisher
Hoboken, USA: John Wiley and Sons, Inc
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Language
English
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Publisher
Hoboken, USA: John Wiley and Sons, Inc
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Contents
Clustering is a ubiquitous task in ecological and environmental sciences and multiple methods have been developed for this purpose. Because these clustering methods typically require users to a priori specify the number of groups, the standard approach is to run the algorithm for different numbers of groups and then choose the optimal number using...
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Full title
Automatic selection of the number of clusters using Bayesian clustering and sparsity-inducing priors
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Record Identifier
TN_cdi_proquest_miscellaneous_2660993639
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2660993639
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ISSN
1051-0761
E-ISSN
1939-5582
DOI
10.1002/eap.2524
