JOURNAL ARTICLE

Multi-label feature selection based on max-dependency and min-redundancy

Yaojin LinQinghua HuJinghua LiuJie Duan

Year: 2015 Journal:   Neurocomputing Vol: 168 Pages: 92-103   Publisher: Elsevier BV
Keywords:
Minimum redundancy feature selection Redundancy (engineering) Feature selection Computer science Artificial intelligence Pattern recognition (psychology) Dependency (UML) Feature (linguistics) Information gain Mutual information Data mining Machine learning

Metrics

249
Cited By
13.51
FWCI (Field Weighted Citation Impact)
49
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Text and Document Classification Technologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Machine Learning in Bioinformatics
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Lili YuanFuhui LongChen Ding

Journal:   IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2005 Vol: 27 (8)Pages: 1226-1238
JOURNAL ARTICLE

Feature selection based on min-redundancy and max-consistency

Yanting GuoMeng HuEric C.C. TsangDegang ChenWeihua Xu

Journal:   Advances in Computational Intelligence Year: 2021 Vol: 2 (1)
JOURNAL ARTICLE

Multi-label feature selection considering label importance-weighted relevance and label-dependency redundancy

Ma XiaoH. LiuYi LiuZuopeng Zhang

Journal:   European Journal of Operational Research Year: 2024 Vol: 322 (1)Pages: 215-236
JOURNAL ARTICLE

Multi-Label Feature Selection Based on Min-Relevance Label

Wanfu GaoHanlin Pan

Journal:   IEEE Access Year: 2022 Vol: 11 Pages: 410-420
© 2026 ScienceGate Book Chapters — All rights reserved.