A new feature selection algorithm, named as Binary Atom Search Optimization (BASO) is applied for feature selection tasks.
https://github.com/JingweiToo/Binary-Atom-Search-Optimization-for-Feature-Selection
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
This toolbox offers a Binary Atom Search Optimization (BASO)
The < Main.m file > illustrates the example of how BASO can solve the feature selection problem using benchmark data-set.
**********************************************************************************************************************************
Cite As
Too, Jingwei, and Abdul Rahim Abdullah. “Binary Atom Search Optimisation Approaches for Feature Selection.” Connection Science, vol. 32, no. 4, Informa UK Limited, Mar. 2020, pp. 406–30, doi:10.1080/09540091.2020.1741515.
General Information
- Version 1.3 (61.5 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3 | See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Atom-Search-Optimization-for-Feature-Selection/releases/tag/1.3 |
||
| 1.2 | Improve code for the fitness function |
||
| 1.1.0 | change to hold-out |
||
| 1.0.3 | - |
||
| 1.0.2 | - |
||
| 1.0.1 | - |
||
| 1.0.0 |