Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization

Multi-view clustering, which aims at dividing data with similar structures into their respective groups, is a popular research subject in computer vision and machine learning. In recent years, Non-negative matrix factorization (NMF) has received constant concern in multi-view clustering due to its a...

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Vydáno v:	Neurocomputing (Amsterdam) Ročník 464; s. 352 - 363
Hlavní autoři:	Feng, Lin, Liu, Wenzhe, Meng, Xiangzhu, Zhang, Yong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 13.11.2021
Témata:	Multi-view clustering Non-negative matrix factorization Regularized Regularized Non-negative matrix factorization Multi-view clustering
ISSN:	0925-2312, 1872-8286
On-line přístup:	Získat plný text
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