ITISC

This project provides python implementation of Information Theoretical Importance Sampling Clustering and Its Relationship with Fuzzy C-Means described in the following paper:

• Information Theoretical Importance Sampling Clustering and Its Relationship with Fuzzy C-Means. .

Dependencies

Python 3.8.5, MATLAB R2022a, Ubuntu 16.04

• The Fuzzy C-Means algorithm is based on the following repository.

Code on synthetic dataset

The example is implemented in each python file. ITISC Alternative Optimization algorithm.

python ITISC_AO.py       
python ITISC_AO.py --gif # gif result is saved in gif subfolder

ITISC Reformulation algorithm(MATLAB installed required), the intermediate MATLAB result is saved in matlabCenters subfolder

python ITISC_R.py
python ITISC_R.py --gif # gif result is saved in gif subfolder

Citing this work

Please do not hesitate to leave us an issue if there is a problem.

@article{zhang2023information,
  title={Information Theoretical Importance Sampling Clustering and Its Relationship with Fuzzy C-Means},
  author={Zhang, Jiangshe and Ji, Lizhen and Wang, Meng},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2023},
  publisher={IEEE}
}