Virtual label guided multi-view non-negative matrix factorization for data clustering

Non-negative matrix factorization (NMF) has attracted widespread attention due to its good performance and physical interpretation. However, it remains challenging when handling multi-view data for clustering. On one hand, the current multi-view NMF methods do not fully utilize the virtual label inf...

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Bibliographic Details

Published in:	Digital signal processing Vol. 133; p. 103888
Main Authors:	Liu, Xiangyu, Song, Peng
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.03.2023
Subjects:	Clustering Multi-view learning Non-negative matrix factorization Virtual label Virtual label Non-negative matrix factorization Clustering Multi-view learning
ISSN:	1051-2004, 1095-4333
Online Access:	Get full text
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