Feature grouping and selection: a graph-based approach

DOI10.1016/j.ins.2020.09.022zbMath1475.62201OpenAlexW3092029138MaRDI QIDQ2055593

Qiang Shen, Defu Zhang, Ling Zheng, Neil Mac Parthaláin, Fei Chao

Publication date: 1 December 2021

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

Full work available at URL: http://pure.aber.ac.uk/ws/files/39706410/HFYGZ1JH_IS_Ling_edited.pdf

zbMATH Keywords

minimum spanning treefeature selectionharmony searchfeature groupinggraph processing

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Graph theory (including graph drawing) in computer science (68R10)

Related Items (1)

Adaptive discriminant analysis for semi-supervised feature selection

Uses Software

• UCI-ml

Cites Work

• An improved harmony search algorithm for solving optimization problems
• Binary differential evolution with self-learning for multi-objective feature selection
• A factor graph model for unsupervised feature selection
• A graph approach for fuzzy-rough feature selection

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