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...
| Publicado en: | BioMed Research International pp. 1 - 18 |
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| Autores principales: | , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
8/18/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |