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...
| Published in: | BioMed Research International pp. 1 - 18 |
|---|---|
| Main Authors: | , , |
| Format: | algorithm equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
8/18/2020
|
| Online Access: | View this record in EBSCOhost |