Binary Tree Growth Algorithm for Feature Selection

Versión 1.3 (61,5 KB) por Jingwei Too
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
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Actualizado 20 dic 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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Citar como

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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Se creó con R2018a
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Versión Publicado Notas de la versión
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

-

1.0.3

-

1.0.2

-

1.0.1

-

1.0.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.