Multi-label feature selection with shared common mode

•A novel embedded-based multi-label feature selection method is proposed.•Our method extracts the shared common mode between features and labels.•Our method uses Non-negative Matrix Factorization to enhance the interpretability.•An optimization algorithm is proposed for our method.•Numerous experime...

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Veröffentlicht in:	Pattern recognition Jg. 104; S. 107344
Hauptverfasser:	Hu, Liang, Li, Yonghao, Gao, Wanfu, Zhang, Ping, Hu, Juncheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2020
Schlagworte:	Classification Coupled matrix factorization Feature selection Multi-label learning Non-negative matrix factorization Multi-label learning Feature selection Non-negative matrix factorization Coupled matrix factorization Classification
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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