Feature selection for clustering using instance-based learning by exploring the nearest and farthest neighbors

DOI10.1016/J.INS.2015.05.019zbMath1390.68519OpenAlexW257840389MaRDI QIDQ1749941

Chien-Hsing Chen

Publication date: 17 May 2018

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

Full work available at URL: https://doi.org/10.1016/j.ins.2015.05.019

zbMATH Keywords

clusteringmutual informationfeature selectionneighborinstance-based learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Feature selection for support vector machines via mixed integer linear programming
• Nonparametric feature screening
• Feature subset selection using separability index matrix
• Modeling the shape of the scene: A holistic representation of the spatial envelope
• On clustering validation techniques
• Gene selection for cancer classification using support vector machines
• Unnamed Item

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