A new standard error based artificial bee colony algorithm and its applications in feature selection
Feature selection is a basic task for pattern recognition and classification. It enhances the performance of the classification algorithms with the help of removing the redundant features. Thanks to eliminating irrelevant features, the computational time is decreased. Thus, intensive works have been...
| Published in: | Journal of King Saud University: Computer and Information Sciences |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-07-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157821000963 |