Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification

In recent years, feature selection for multilabel classification has attracted attention in machine learning and data mining. However, some feature selection methods ignore the correlations among labels, resulting in low performance, and most of them face challenges in determining an appropriate nei...

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Bibliographic Details
Published inInformation sciences Vol. 578; pp. 887 - 912
Main Authors Sun, Lin, Wang, Tianxiang, Ding, Weiping, Xu, Jiucheng, Lin, Yaojin
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.11.2021
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