Implementation of the method proposed in the paper: "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings", Aleksandar Bojchevski, Yves Matkovic, and Stephan Günnemann, SIGKDD 2017.
python setup.py install- numpy/scipy
- sklearn
See example.ipynb for a comparison with vanilla Spectral Clustering on the moons dataset.
Please cite our paper if you use this code in your own work.
@inproceedings{bojchevski2017robust,
title={Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings},
author={Bojchevski, Aleksandar and Matkovic, Yves and G{\"u}nnemann, Stephan},
booktitle={Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
pages={737--746},
year={2017},
organization={ACM}
}