: This package includes the MATLAB code of the POCSS algorithm  for the unsupervised feature selection problem. This is an application of our previous POSS algorithm  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.
:  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.
 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.
: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Dr. Chao Qian (firstname.lastname@example.org).
: The package was developed with MATLAB.
: This package was developed by Mr. Chao Feng (email@example.com). For any problem concerning the code, please feel free to contact him.