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

Versione 1.3 (61,5 KB)
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20 dic 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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Cita come

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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Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
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Versione Pubblicato Note della release
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.