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LICENSE
LICENSE
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
binary_synthetic_data.py
binary_synthetic_data.py
 
 
clustering_evaluator.py
clustering_evaluator.py
 
 
clusters_optimizer_base.py
clusters_optimizer_base.py
 
 
info_theoretic_kl_div_clustering.py
info_theoretic_kl_div_clustering.py
 
 
itc_dm_ecg.ipynb
itc_dm_ecg.ipynb
 
 
itc_dm_eeg.ipynb
itc_dm_eeg.ipynb
 
 
itc_dm_neuropixels.ipynb
itc_dm_neuropixels.ipynb
 
 
itc_dm_pollution.ipynb
itc_dm_pollution.ipynb
 
 
itc_dm_rain.ipynb
itc_dm_rain.ipynb
 
 
itc_dm_synthetic.ipynb
itc_dm_synthetic.ipynb
 
 
itc_dm_wind.ipynb
itc_dm_wind.ipynb
 
 
itc_knn_clusters_optimizer.py
itc_knn_clusters_optimizer.py
 
 
itc_mst_clusters_optimizer.py
itc_mst_clusters_optimizer.py
 
 
kmeans_clusters_optimizer.py
kmeans_clusters_optimizer.py
 
 
npeets.py
npeets.py
 
 
plot_mi_metric.py
plot_mi_metric.py
 
 
requirements.txt
requirements.txt
 
 
spectral_clusters_optimizer.py
spectral_clusters_optimizer.py
 
 
timeseries_dependency_scores.py
timeseries_dependency_scores.py
 
 

README.md

This is the official code repository for the paper, "Information Theoretic Clustering via Divergence Maximization among Clusters. UAI 2023. Garg et al. https://proceedings.mlr.press/v216/garg23a/garg23a.pdf".

Please refer to the notebooks for all the details. Note that, while all the datasets are public, the respective preprocessed data files will be released soon.