Enhanced NSGA-II-based feature selection method for high-dimensional classification
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference50 articles.
1. S. Alelyani, J. Tang, H. Liu, Feature selection for clustering: A review, Data Clustering. (2018) 29–60.
2. G.L. Azevedo, G.D.C. Cavalcanti, E.C.B. Carvalho Filho, An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting, in: 2007 IEEE Congress on Evolutionary Computation, IEEE, 2007: pp. 3577–3584.
3. Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction;Bacanin;PLoS One,2022
4. IEEE Congress on Evolutionary Computation (CEC);Bidgoli;IEEE,2019
5. A hybrid feature selection approach for Microarray datasets using graph theoretic-based method;Chamlal;Inf Sci (n Y).,2022
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