A high-dimensional feature selection method based on modified Gray Wolf Optimization

For data mining tasks on high-dimensional data, feature selection is a necessary pre-processing stage that plays an important role in removing redundant or irrelevant features and improving classifier performance. The Gray Wolf optimization algorithm is a global search mechanism with promising appli...

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Bibliographic Details
Published inApplied soft computing Vol. 135; p. 110031
Main Authors Pan, Hongyu, Chen, Shanxiong, Xiong, Hailing
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2023
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