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

Version 1.3 (61,5 KB)
298 Downloads
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20. Dez 2020

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This toolbox offers a Binary Tree Growth Algorithm (BTGA)

The < Main.m file > illustrates the example of how BTGA can solve the feature selection problem using benchmark data-set.

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Zitieren als

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.

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Kompatibilität der MATLAB-Version

  • Kompatibel mit allen Versionen

Plattform-Kompatibilität

  • Windows
  • macOS
  • Linux
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Version Veröffentlicht Versionshinweise
1.3

See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Tree-Growth-Algorithm-for-Feature-Selection/releases/tag/1.3
1.2

Improve code for the fitness function
1.1.0

change to hold-out
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

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.