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Combining Mixture Components for Clustering*
Model-based clustering consists of fitting a mixture model to data and identifying each cluster with one of its components. Multivariate normal distributions are typically used. The number of clusters is usually determined from the data, often using BIC. In practice, however, individual clusters can...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2953822/ https://ncbi.nlm.nih.gov/pubmed/20953302 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jcgs.2010.08111 |
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