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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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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Versione | Pubblicato | Note della release | |
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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 |