An efficient hybrid filter-wrapper method based on improved Harris Hawks optimization for feature selection

Introduction: High-dimensional datasets often contain an abundance of features, many of which are irrelevant to the subject of interest. This issue is compounded by the frequently low number of samples and imbalanced class samples. These factors can negatively impact the performance of classificatio...

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Bibliographic Details
Published in:	BioImpacts : BI Vol. 15; no. 1; pp. 30340 - 14
Main Authors:	Pirgazi, Jamshid, Pourhashem Kallehbasti, Mohammad Mehdi, Ghanbari Sorkhi, Ali, Kermani, Ali
Format:	Journal Article
Language:	English
Published:	Iran Tabriz University of Medical Sciences 2025 Tabriz University of Medical Sciences (TUOMS Publishing Group)
Subjects:	Accuracy Algorithms Classification Datasets Feature selection Genetic algorithms global search harris hawks optimization high-dimensional data Machine learning Methods Mutation Optimization algorithms Original Replication origins Software Support vector machines Variance analysis High-dimensional data Feature selection Global search Harris Hawks optimization
ISSN:	2228-5652, 2228-5660
Online Access:	Get full text
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