| title | author | date |
|---|---|---|
DependencyDegree |
Javad Rahimipour Anaraki |
23/05/18 |
To determine fuzzy rough dependency degree of features based on New Approaches to Fuzzy-Rough Feature Selection which can be used as a fitness function of evolutionary algorithms
This code can be run using MATLAB R2006a and above
To run the code, call dpendency.m function with two inputs, address to a dataset and a binary vector with size of features of the dataset. For instance, calling the function with dependency('Data/wine.csv', [0 0 0 1 0 1 0 1 1 0 0 0 0]) would calculate fuzzy rough dependency degree of selected features {4, 6, 8 ,9} for wine.csv dataset.
Datasets can be downloaded from UCI Machine Learning Repository
Datasets should have no column and/or row names, and the class values should be all numeric