Binary Tree Growth Algorithm for Feature Selection
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
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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Start Hunting!バージョン | 公開済み | リリース ノート | |
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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 |
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1.2 | Improve code for the fitness function |
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1.1.0 | change to hold-out |
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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 |