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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-05-01
Sarja:	Scientific Reports
Aiheet:	Multi-label classification Filter type Local search strategy Feature fusion Collective intelligence PSO algorithm
Linkit:	https://doi.org/10.1038/s41598-025-01092-1
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