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Model-based clustering based on sparse finite Gaussian mixtures
In the framework of Bayesian model-based clustering based on a finite mixture of Gaussian distributions, we present a joint approach to estimate the number of mixture components and identify cluster-relevant variables simultaneously as well as to obtain an identified model. Our approach consists in...
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| Gepubliceerd in: | Stat Comput |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer US
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4750551/ https://ncbi.nlm.nih.gov/pubmed/26900266 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-014-9500-2 |
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