An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection

Finding an optimal set of discriminative features is still a crucial but challenging task in biomedical science. The complexity of the task is intensified when any of the two scenarios arise: a highly dimensioned dataset and a small sample-sized dataset. The first scenario poses a big challenge to e...

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Detalles Bibliográficos
Autores principales: Segera, Davies, Mbuthia, Mwangi, Nyete, Abraham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450338/
https://www.ncbi.nlm.nih.gov/pubmed/32908920
http://dx.doi.org/10.1155/2020/8506365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450338/
https://www.ncbi.nlm.nih.gov/pubmed/32908920
http://dx.doi.org/10.1155/2020/8506365

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