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
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.
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。