A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection

Within the learning framework of maximum weighted likelihood (MWL) proposed by Cheung, 2004 and 2005, this paper will develop a batch Rival Penalized Expectation-Maximization (RPEM) algorithm for density mixture clustering provided that all observations are available before the learning process. Com...

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Detalhes bibliográficos
Main Authors: Wen, Jiechang, Zhang, Dan, Cheung, Yiu-ming, Liu, Hailin, You, Xinge
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2012
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3287038/
https://ncbi.nlm.nih.gov/pubmed/22400050
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2012/425730
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