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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Vydané v:	Information sciences Ročník 634; s. 587 - 607
Hlavní autori:	Li, Chenglu, Che, Hangjun, Leung, Man-Fai, Liu, Cheng, Yan, Zheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.07.2023
Predmet:	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
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