A high-dimensional feature selection method based on modified Gray Wolf Optimization
For data mining tasks on high-dimensional data, feature selection is a necessary pre-processing stage that plays an important role in removing redundant or irrelevant features and improving classifier performance. The Gray Wolf optimization algorithm is a global search mechanism with promising appli...
Saved in:
Published in | Applied soft computing Vol. 135; p. 110031 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!