Description : This package includes the MATLAB code of the POCSS algorithm [1] for the unsupervised feature selection problem. This is an application of our previous POSS algorithm [2] for the subset selection problem. Note that POCSS implements a sub-procedure of objective function evaluation for acceleration. A Readme file and an example file are included in the package.

References: [1] Chao Feng, Chao Qian, and Ke Tang. Unsupervised Feature Selection by Pareto Optimization. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019. [2] Chao Qian, Yang Yu, and Zhi-Hua Zhou. Subset Selection by Pareto Optimization. In: Advances in Neural Information Processing Systems 28 (NIPS'15), Montreal, Canada, 2015.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Dr. Chao Qian (chaoqian@ustc.edu.cn).

Requirement: The package was developed with MATLAB.

ATTN2: This package was developed by Mr. Chao Feng (chaofeng@mail.ustc.edu.cn). For any problem concerning the code, please feel free to contact him.

Download: code (1MB)