Binary Tree Growth Algorithm for Feature Selection
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
https://github.com/JingweiToo/Binary-Tree-Growth-Algorithm-for-Feature-Selection
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Cite As
Too, Jingwei, et al. “Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals.” Machines, vol. 6, no. 4, MDPI AG, Dec. 2018, p. 65, doi:10.3390/machines6040065.
General Information
- Version 1.3.0 (61.5 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3.0 | See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Tree-Growth-Algorithm-for-Feature-Selection/releases/tag/1.3 |
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| 1.2.0 | Improve code for the fitness function |
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| 1.1.0 | change to hold-out |
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| 1.0.4 | - |
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| 1.0.3 | - |
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| 1.0.2 | - |
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| 1.0.1 | - |
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| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
