Improved WOA and its application in feature selection

Feature selection (FS) can eliminate many redundant, irrelevant, and noisy features in high-dimensional data to improve machine learning or data mining models’ prediction, classification, and computational performance. We proposed an improved whale optimization algorithm (IWOA) and improved k-neares...

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Detalles Bibliográficos
Autores principales: Liu, Wei, Guo, Zhiqing, Jiang, Feng, Liu, Guangwei, Wang, Dong, Ni, Zishun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119564/
https://www.ncbi.nlm.nih.gov/pubmed/35588402
http://dx.doi.org/10.1371/journal.pone.0267041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119564/
https://www.ncbi.nlm.nih.gov/pubmed/35588402
http://dx.doi.org/10.1371/journal.pone.0267041

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