LLSRFS: Unsupervised Feature Selection by Learning Exponential Weights

This repository provides a python implementation of LLSRFS as described in the paper "Unsupervised Feature Selection by Learning Exponential Weights".

Datasets

All data sets can be obtained from 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

Running the code

You can run the following demo function directly

demo.py

or run the following parameter search function

para_search.py

Citation

@article{WANG2023LLSRFS,
title = {Unsupervised feature selection by learning exponential weights},
author = {Chenchen Wang and Jun Wang and Zhichen Gu and Jin-Mao Wei and Jian Liu},
journal = {Pattern Recognition},
pages = {110183},
year = {2023},
issn = {0031-3203},
doi = {https://doi.org/10.1016/j.patcog.2023.110183},
url = {https://www.sciencedirect.com/science/article/pii/S0031320323008804}
}

Contact

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