Source code for the paper "Differentially Private Associative Co-clustering", Proceedings of the 2025 SIAM International Conference on Data Mining, SDM 2025, Alexandria, VA, USA, May 1-3, 2025, by Elena Battaglia and Ruggero G. Pensa. [paper] [supplemental material]
Git-clone the repository. Then, install the required packages:
pip install -r requirements.txt
Run the experiments on synthetic data:
python src/DPCoClust_synthetic_NMI.py
Run the experiments on real-world datasets:
python src/DPCoClust_real_data_NMI.py
Run the experiments for getting the runtime curves:
python src/DPCoClust_synthetic_time.py
Run the experiments to get the iterations/epsilon heatmaps:
python src/DPCoClust_real_data_iter.py
Run the experiments to get the h/epsilon heatmaps:
python src/DPCoClust_real_data_h.py
The results are in the output/<algorithm> directories, one file per dataset. Plots can be generated using the notebook files.
@inproceedings{SDM25,
author = {Elena Battaglia and Ruggero G. Pensa},
title = {Differentially Private Associative Co-Clustering},
booktitle = {Proceedings of the 2025 {SIAM} International Conference on Data Mining,
{SDM} 2025, Alexandria, VA, USA, May 1-3, 2025},
pages = {1--9},
publisher = {{SIAM}},
year = {2025}
}