- This project is based upon work supported in part by the Air Force Office of Scientific Research/Asian Office of Aerospace Research and Development (AAFOSR/AOARD) under award number FA2386-17-1-4046.
- It proposes an algorithm named k-SCC to estimate the number of clusters in categorical data clustering.
- The code is implemented in Python 3.6. If you use this code, please cite to the following paper with Bib:
@inproceedings{dinh2019estimating, title={Estimating the optimal number of clusters in categorical data clustering by silhouette coefficient}, author={Dinh, Duy-Tai and Fujinami, Tsutomu and Huynh, Van-Nam}, booktitle={International Symposium on Knowledge and Systems Sciences}, pages={1--17}, year={2019}, organization={Springer} }