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Mixtures of Gaussian Wells: Theory, Computation, and Application
A primary challenge in unsupervised clustering using mixture models is the selection of a family of basis distributions flexible enough to succinctly represent the distributions of the target subpopulations. In this paper we introduce a new family of Gaussian Well distributions (GWDs) for clustering...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2012
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3384503/ https://ncbi.nlm.nih.gov/pubmed/22754052 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2012.03.027 |
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