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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| 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 |