Conditional mixture modeling and model-based clustering

•Proposed a novel family of finite mixture models that•can model non-compact clusters•can model each cluster individually without imposing common component structure assumptions•Developed an algorithm for a speedy search of the conditioning order•Illustrated the developed methodology on simulated an...

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Bibliographic Details

Published in:	Pattern recognition Vol. 133; p. 108994
Main Authors:	Melnykov, Volodymyr, Wang, Yang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2023
Subjects:	finite mixture model model-based clustering non-compact clusters regression variable selection variable selection model-based clustering finite mixture model non-compact clusters regression
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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