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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Detalles Bibliográficos
Autores principales: Wen, Jiechang, Zhang, Dan, Cheung, Yiu-ming, Liu, Hailin, You, Xinge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287038/
https://www.ncbi.nlm.nih.gov/pubmed/22400050
http://dx.doi.org/10.1155/2012/425730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287038/
https://www.ncbi.nlm.nih.gov/pubmed/22400050
http://dx.doi.org/10.1155/2012/425730

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