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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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 97; S. 104079
Hauptverfasser:	Sadeghian, Zohre, Akbari, Ebrahim, Nematzadeh, Hossein
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2021
Schlagworte:	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
Online-Zugang:	Volltext
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