文件列表:

__pycache__/
data_labels/
data_unlabels/
evaluation.py
initial_clusters.txt
k-PbC_for_labeled_datasets.ipynb
k-PbC_for_unlabels_datasets.ipynb
k-PbC_for_unlabels_datasets_silhouette.ipynb
s10489-020-01677-5.pdf

# 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} }

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