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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Vydáno v:	BioImpacts : BI Ročník 15; číslo 1; s. 30340 - 14
Hlavní autoři:	Pirgazi, Jamshid, Pourhashem Kallehbasti, Mohammad Mehdi, Ghanbari Sorkhi, Ali, Kermani, Ali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Iran Tabriz University of Medical Sciences 2025 Tabriz University of Medical Sciences (TUOMS Publishing Group)
Témata:	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
On-line přístup:	Získat plný text
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