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Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computational Statistics & Data Analysis CrossRef

Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

Biernacki, Christophe; Celeux, Gilles; Govaert, Gérard
Computational Statistics & Data Analysis , Volume 41 (3-4): 561-575 – Jan 1, 2003
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Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

Biernacki, Christophe; Celeux, Gilles; Govaert, Gérard
Computational Statistics & Data Analysis , Volume 41 (3-4): 561-575 – Jan 1, 2003

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Publisher
CrossRef
ISSN
0167-9473
DOI
10.1016/s0167-9473(02)00163-9
Publisher site
See Article on Publisher Site

Abstract

Journal

Computational Statistics & Data Analysis – CrossRef

Published: Jan 1, 2003

References

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