k-PbC

• 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-PbC to improve cluster center initialization for categorical data clustering.

• The source code is implemented in Python.

• Reports and comments are very welcome and can be sent to email: it08duytai@gmail.com

• If you use this code, please cite the following paper with Bib:

  @article{dinh2020k, title={k-PbC: an improved cluster center initialization for categorical data clustering}, author={Dinh, Duy-Tai and Huynh, Van-Nam}, journal={Applied Intelligence}, volume={50}, pages={2610--2632}, year={2020}, publisher={Springer} }