Neighborhood rough set based multi‐label feature selection with label correlation

Summary Neighborhood rough set (NRS) is considered as an effective tool for feature selection and has been widely used in processing high‐dimensional data. However, most of the existing methods are difficult to deal with multi‐label data and are lack of considering label correlation (LC), which is a...

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Veröffentlicht in:	Concurrency and computation 2022-10, Vol.34 (22), p.n/a
Hauptverfasser:	Wu, Yilin, Liu, Jinghua, Yu, Xiehua, Lin, Yaojin, Li, Shaozi
Format:	Artikel
Sprache:	eng
Schlagworte:	Feature selection Greedy algorithms label correlation Labels multi‐label learning neighborhood rough set Neighborhoods
Online-Zugang:	Volltext
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