A new feature selection algorithm based on relevance, redundancy and complementarity

Author:

Li Chao,Luo Xiao,Qi Yanpeng,Gao Zhenbo,Lin Xiaohui

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference42 articles.

1. Feature selection in machine learning: a new perspective;Cai;Neurocomputing,2018

2. A support vector machine-recursive feature elimination feature selection method based on artificial contrast variables and mutual information;Lin;J. Chromatogr., B,2012

3. Toward optimal feature and time segment selection by divergence method for EEG signals classification;Wang;Comput. Biol. Med.,2018

4. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weight-based approach;Wolf;J. Mach. Learn. Res.,2005

5. Unsupervised relevance analysis for feature extraction and selection. A distance-based approach for feature relevance;Peluffo,2014

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