Supervised feature selection using integration of densest subgraph finding with floating forward-backward search

DOI10.1016/j.ins.2021.02.034zbMath1527.68210OpenAlexW3132891126MaRDI QIDQ6086296

Sanghamitra Bandyopadhyay, Tapas Bhadra

Publication date: 9 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.034

zbMATH Keywords

pattern recognitionmutual informationsupervised feature selectionnormalized mutual information

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

Streaming feature selection via graph diffusion

Cites Work

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• Feature selection for support vector machines via mixed integer linear programming
• Wrappers for feature subset selection
• Independent component analysis, a new concept?
• A survey on semi-supervised feature selection methods
• Pattern Recognition Algorithms for Data Mining
• The Best Two Independent Measurements Are Not the Two Best
• Gene selection for cancer classification using support vector machines

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