Optimal-Feature-selection-for-KNN-classifier

版本 1.0.0 (152.1 KB) 作者: Abhishek Gupta
This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN
1.0
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502.0 次下载
更新时间 2019/4/5
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This work implements the KNN classifier to train and classify the medical disease datasets like Breast cancer, Heart rate, Lomography data, etc. To improve the classification accuracy and reduce computational overhead, we proposed the hybrid optimization algorithm to optimally select the features from the database. The present repository has the MATLAB code for feature selection GoA and SA only. Read more here

https://free-thesis.com/product/feature-selection-and-classification-by-hybrid-optimization/

引用格式

Abhishek Gupta (2024). Optimal-Feature-selection-for-KNN-classifier (https://github.com/earthat/Optimal-Feature-selection-for-KNN-classifier), GitHub. 检索时间: .

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1.0.0

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