Binary Tree Growth Algorithm for Feature Selection

Version 1.3 (61,5 KB) von Jingwei Too
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
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Aktualisiert 20 Dez 2020

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
Erstellt mit R2018a
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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

-

1.0.2

-

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.