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Binary Tree Growth Algorithm for Feature Selection

version 1.1.0 (58.7 KB) by Jingwei Too
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.

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Updated 23 Jul 2020

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This toolbox offers a Binary Tree Growth Algorithm (BTGA)

The "Main" script illustrates the example of how BTGA can solve the feature selection problem using benchmark data-set.

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Detail of the algorithm can be found in the following paper:
[1] Too, J., Abdullah, A.R., Mohd Saad, N. and Mohd Ali, N., 2018. Feature selection based on binary tree growth algorithm for the classification of Myoelectric Signals. Machines, 6(4), p.65.
DOI: https://doi.org/10.3390/machines6040065

Cite As

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 Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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Binary Tree Growth Algorithm for Feature Selection