DFG: Feature Selection via Dynamic Feature Graph

This repository provides a python implementation of DFG as described in the paper "Feature Selection via Dynamic Feature Graph".

Datasets

The datasets are accessible through the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets.php) or scikit-feature selection repository (https://jundongl.github.io/scikit-feature/datasets.html).

Environment Settings

• numpy
• matplotlib
• scikit-learn
• scipy
• pandas
• tqdm
• os

Running the code

For supervised scenarios, you can directly run the following code

DFG_SFS_main.py

or run the following function for unsupervised scenarios

DFG_UFS_main.py

Contact

If you have any questions, please feel free to contact me with [email protected]