An efficient wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB , and the related article: "Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature selection".
You can easily load your data on MATLAB as a Matrix and run the MainSIFE.m code to select the best feature set.
Note: for replacing another data you should only follow two steps:
1 : load your data in Matlab (by 'load' ,'importdata' ,'xlsread', and etc. commands)
2 : prepare the data as a Matrix that contains both features and labels as follows: 'data' is a matrix [N*(F+1)] where N is number of instances(rows), ... 'F' is number of Features(columns), and "1" is the last column refers to the labels;
You can cite the article with: H. Saadatmand, M.-R. Akbarzadeh-T, Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature selection, Applied Soft Computing, 2023,110240,ISSN 1568-4946, % https://doi.org/10.1016/j.asoc.2023.110240.