A hybrid chaotic particle swarm optimization with differential evolution for feature selection
The selection of feature subsets has been broadly utilized in data mining and machine learning tasks to produce a solution with a small number of features which improves the classifier's accuracy and it also aims to reduce the dataset dimensionality while still sustaining high classification pe...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/92026/ http://dx.doi.org/10.1109/ISIEA49364.2020.9188198 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!