Feature selection with clustering probabilistic particle swarm optimization
Author:
Funder
Japan Society for the Promotion of Science
Japan Science and Technology Agency
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02111-9.pdf
Reference50 articles.
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3. Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3(Mar):1157–1182
4. Dash M, Liu H (1997) Feature selection for classification. Intell Data Anal 1(1–4):131–156. https://doi.org/10.1016/S1088-467X(97)00008-5
5. Cai J, Luo J, Wang S, Yang S (2018) Feature selection in machine learning: a new perspective. Neurocomputing 300:70–79. https://doi.org/10.1016/j.neucom.2017.11.077
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1. An improved Differential evolution with Sailfish optimizer (DESFO) for handling feature selection problem;Scientific Reports;2024-06-12
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