Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints

Multi-view clustering (MVC) has received extensive attention due to its efficient processing of high-dimensional data. Most of the existing multi-view clustering methods are based on non-negative matrix factorization (NMF), which can achieve dimensionality reduction and interpretable representation....

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Bibliographic Details

Published in:	Information sciences Vol. 634; pp. 587 - 607
Main Authors:	Li, Chenglu, Che, Hangjun, Leung, Man-Fai, Liu, Cheng, Yan, Zheng
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2023
Subjects:	Adaptive graph constraint Diversity constraint Multi-view clustering Robust non-negative matrix factorization Adaptive graph constraint Multi-view clustering Robust non-negative matrix factorization Diversity constraint
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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