DRFS: Dual Regularized Feature Selection for Class-Specific and Global Feature Associations

This repository provides a python implementation of FGR as described in the paper "Dual Regularized Feature Selection for Class-Specific and Global Feature Associations".

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 demo code

DRFS_main.py

Contact

If you have any questions, please feel free to contact me with wangc@mail.nankai.edu.cn