A hybrid feature selection method based on information theory and binary butterfly optimization algorithm

Feature selection is the problem of finding the optimal subset of features for predicting class labels by removing irrelevant or redundant features. S-shaped Binary Butterfly Optimization Algorithm (S-bBOA) is a nature-inspired algorithm for solving the feature selection problems. The evidence shows...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 97; s. 104079
Hlavní autoři:	Sadeghian, Zohre, Akbari, Ebrahim, Nematzadeh, Hossein
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2021
Témata:	Binary butterfly optimization algorithm Classification Feature selection Information theory algorithm Binary butterfly optimization algorithm Feature selection Information theory algorithm Classification
ISSN:	0952-1976, 1873-6769
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