A new iterative initialization of EM algorithm for Gaussian mixture models

BACKGROUND: The expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM). However, it is highly sensitive to initial value and easily gets trapped in a local optimum. METHOD: To address these problems, a new iterative method of EM initia...

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Detalles Bibliográficos
Autores principales: You, Jie, Li, Zhaoxuan, Du, Junli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101421/
https://www.ncbi.nlm.nih.gov/pubmed/37053163
http://dx.doi.org/10.1371/journal.pone.0284114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101421/
https://www.ncbi.nlm.nih.gov/pubmed/37053163
http://dx.doi.org/10.1371/journal.pone.0284114

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