A factor graph model for unsupervised feature selection

•A novel filter type unsupervised feature selection algorithm, namely, a factor graph model for unsupervised feature selection (FGUFS) is proposed.•In FGUFS, the maximal information coefficient (MIC) is used to measure the similarities between features, and a message passing algorithm developed for...

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Bibliographic Details

Published in:	Information sciences Vol. 480; pp. 144 - 159
Main Authors:	Wang, Hongjun, Zhang, Yinghui, Zhang, Ji, Li, Tianrui, Peng, Lingxi
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.04.2019
Subjects:	Factor graph Feature selection Message-passing algorithm Unsupervised learning Feature selection Factor graph Message-passing algorithm Unsupervised learning
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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