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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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Detalles Bibliográficos
Autores principales: Malsiner-Walli, Gertraud, Frühwirth-Schnatter, Sylvia, Grün, Bettina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750551/
https://www.ncbi.nlm.nih.gov/pubmed/26900266
http://dx.doi.org/10.1007/s11222-014-9500-2