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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Detalhes bibliográficos

Principais autores:	Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-05-01
coleção:	Scientific Reports
Assuntos:	Multi-label classification Filter type Local search strategy Feature fusion Collective intelligence PSO algorithm
Acesso em linha:	https://doi.org/10.1038/s41598-025-01092-1
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