【源码】用于特征选择的二叉树生长算法
将二叉树生长算法（BTGA）应用于特征选择任务。
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
This toolbox offers a Binary Tree Growth Algorithm (BTGA)
< Main.m file >描述了BTGA如何使用标准数据集解决特征选择问题的。
The < Main.m file > illustrates the example of how BTGA can solve the feature selection problem using benchmark data-set.
参考文献：
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.