Update README.md

README.md

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 # ITISC
-Information Theoretical Importance Sampling Clustering
+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. ](https://arxiv.org/abs/2302.04421).
+
+# Dependencies
+Python 3.8.5, MATLAB R2022a, Ubuntu 16.04
+* The Fuzzy C-Means algorithm is based on [the following repository](https://github.com/omadson/fuzzy-c-means/tree/master). 
+
+# Code on synthetic dataset
+The example is implemented in each python file.
+ITISC Alternative Optimization algorithm. 
+```bash
+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
+```bash
+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. 
+```latex
+@article{zhang2023importance,
+  title={Importance Sampling Deterministic Annealing for Clustering},
+  author={Zhang, Jiangshe and Ji, Lizhen and Wang, Meng},
+  journal={arXiv preprint arXiv:2302.04421},
+  year={2023}
+}
+```
+
+