Mixture Model Averaging for Clustering
Model-based clustering is based on a finite mixture of distributions, where each mixture component corresponds to a different group, cluster, subpopulation, or part thereof. Gaussian mixture distributions are most often used. Criteria commonly used in choosing the number of components in a finite mi...
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| Language: | en |
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2012
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| Online Access: | http://hdl.handle.net/10214/3538 |