Multi-objective feature selection algorithm using Beluga Whale Optimization

The advancement of science and technology has resulted in large datasets with noisy or redundant features that hamper classification. In feature selection, relevant attributes are selected to reduce dimensionality, thereby improving classification accuracy. Multi-objective optimization is crucial in...

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Vydané v:	Chemometrics and intelligent laboratory systems Ročník 257; s. 105295
Hlavní autori:	Kouhpah Esfahani, Kiana, Mohammad Hasani Zade, Behnam, Mansouri, Najme
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.02.2025
Predmet:	Beluga Whale Optimization Feature selection Multi-objective optimization Random forest Beluga Whale Optimization Feature selection Multi-objective optimization Random forest
ISSN:	0169-7439
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