Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions

We propose a novel method for multiple clustering, which is useful for analysis of high-dimensional data containing heterogeneous types of features. Our method is based on nonparametric Bayesian mixture models in which features are automatically partitioned (into views) for each clustering solution....

Descripción completa

Guardado en:
Detalles Bibliográficos
Publicado en:PLoS One
Autores principales: Tokuda, Tomoki, Yoshimoto, Junichiro, Shimizu, Yu, Okada, Go, Takamura, Masahiro, Okamoto, Yasumasa, Yamawaki, Shigeto, Doya, Kenji
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5648298/
https://ncbi.nlm.nih.gov/pubmed/29049392
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0186566
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares