Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization

Abstract Multi-label classification is a significant challenge in machine learning, especially as the dimensionality of the problem increases. As the number of dimensions grows, the performance of traditional classification algorithms often degrades substantially. Feature selection is a key techniqu...

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Bibliografische Detailangaben

Hauptverfasser:	Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-05-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Multi-label classification Filter type Local search strategy Feature fusion Collective intelligence PSO algorithm
Online-Zugang:	https://doi.org/10.1038/s41598-025-01092-1
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