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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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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引用格式

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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一般信息

MATLAB 版本兼容性

  • 兼容任何版本

平台兼容性

  • Windows
  • macOS
  • Linux
版本 已发布 发行说明 Action
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

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 存储库