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

버전 1.3 (61.5 KB)
다운로드 수: 299
(0)
2020/12/20

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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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인용 양식

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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MATLAB 릴리스 호환 정보

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새 탭에서 열기
버전 퍼블리시됨 릴리스 정보
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

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1.0.1

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1.0.0

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이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.