Dual regularized multi-view non-negative matrix factorization for clustering

Many real-world datasets are described by multiple modalities or views, which can provide compatible and complementary information to each other. Synthesizing multi-view features for data representation can lead to more comprehensive data description, which may further allow us to find more effectiv...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 294; pp. 1 - 11
Main Authors:	Luo, Peng, Peng, Jinye, Guan, Ziyu, Fan, Jianping
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 14.06.2018
Subjects:	Clustering Dual regularization Multi-view learning Non-negative matrix factorization Non-negative matrix factorization Clustering Dual regularization Multi-view learning
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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