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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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 97; p. 104079
Main Authors:	Sadeghian, Zohre, Akbari, Ebrahim, Nematzadeh, Hossein
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2021
Subjects:	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 Access:	Get full text
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