Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm

The machine learning process in high-dimensional datasets is far more complicated than in low-dimensional datasets. In high-dimensional datasets, Feature Selection (FS) is necessary to decrease the complexity of learning. However, FS in high-dimensional datasets is a complex process that requires th...

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Bibliographic Details
Published in:International journal of machine learning and cybernetics Vol. 15; no. 12; pp. 6107 - 6148
Main Authors: Al-qudah, Nour Elhuda A., Abed-alguni, Bilal H., Barhoush, Malek
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
Springer Nature B.V
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ISSN:1868-8071, 1868-808X
Online Access:Get full text
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