Bayesian k-Means as a "maximization-expectation" algorithm

We introduce a new class of "maximization-expectation" (ME) algorithms where we maximize over hidden variables but marginalize over random parameters. This reverses the roles of expectation and maximization in the classical expectation-maximization algorithm. In the context of clustering,...

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Bibliographic Details

Published in:	Neural computation Vol. 21; no. 4; p. 1145
Main Authors:	Kurihara, Kenichi, Welling, Max
Format:	Journal Article
Language:	English
Published:	United States 01.04.2009
Subjects:	Algorithms Artificial Intelligence Bayes Theorem Models, Neurological
ISSN:	0899-7667
Online Access:	Get more information
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