Interpretable Deep Clustering

An official implementation of the ICML 2024 accepted paper:

Interpretable Deep Clustering for Tabular Data

How to run on your data:

1. Do you have a dataset without labels? Use our colab example notebook:
2. If you have a labeled dataset, please follow the colab with evaluation example:

Citation:

Please cite our paper if you use this code:

@article{svirsky2023interpretable,
  title={Interpretable deep clustering},
  author={Svirsky, Jonathan and Lindenbaum, Ofir},
  journal={arXiv preprint arXiv:2306.04785},
  year={2023}
}

TODO list:

• Add interpretability evaluation scripts
• Add experiments configs
• Add features index outputs
• Add synthetic dataset deneration code