Binary Atom Search Optimization for Feature Selection

Version 1.3 (61.5 KB) by Jingwei Too

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

4.0

(1)

279 Downloads

Updated 19 Dec 2020

View License on GitHub

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.

View more styles

MATLAB Release Compatibility

Created with R2018a

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version	Published	Release Notes
1.3	19 Dec 2020	See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Atom-Search-Optimization-for-Feature-Selection/releases/tag/1.3	Download
1.2	22 Oct 2020	Improve code for the fitness function	Download
1.1.0	23 Jul 2020	change to hold-out	Download
1.0.3	23 Jul 2020	-	Download
1.0.2	23 Jul 2020	-	Download
1.0.1	23 Jul 2020	-	Download
1.0.0	23 Jul 2020		Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	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.
APA	Too, J., & Abdullah, A. R. (2020). Binary atom search optimisation approaches for feature selection. Connection Science, 32(4), 406–430. Informa UK Limited. Retrieved from https://doi.org/10.1080%2F09540091.2020.1741515
BibTeX	@article{Too_2020, doi = {10.1080/09540091.2020.1741515}, url = {https://doi.org/10.1080%2F09540091.2020.1741515}, year = 2020, month = {mar}, publisher = {Informa {UK} Limited}, volume = {32}, number = {4}, pages = {406--430}, author = {Jingwei Too and Abdul Rahim Abdullah}, title = {Binary atom search optimisation approaches for feature selection}, journal = {Connection Science} }