A new iterative initialization of EM algorithm for Gaussian mixture models.

A new iterative initialization of EM algorithm for Gaussian mixture models.

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<h4>Background</h4>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.<h4>Method</h4>To address these problems...

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Bibliographic Details
Main Authors: Jie You, Zhaoxuan Li, Junli Du
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0284114

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