A survey on multi-label feature selection from perspectives of label fusion

Published: 01 Jan 2023, Last Modified: 06 Aug 2025Inf. Fusion 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Representative multi-label feature selection methods using label fusion are investigated.•Various application domains for multi-label feature selection are summarized.•Future trends and opening issues on multi-label feature selection are discussed.
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