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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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 464; S. 352 - 363
Hauptverfasser:	Feng, Lin, Liu, Wenzhe, Meng, Xiangzhu, Zhang, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 13.11.2021
Schlagworte:	Multi-view clustering Non-negative matrix factorization Regularized Regularized Non-negative matrix factorization Multi-view clustering
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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