CRMVSC - Co-Regularized Multi-View Spectral Clustering

Python implementation of the Co-Regularized Multi-view Spectral Clustering algorithm by Kumar, Rai, and Daumé.[1]

This implementation is meant for analyzing and plotting the results of the algorithm at different points in time and trying out varying Laplace matrices. If you are simply interested in getting the end results, please refer to the following package: https://github.com/mvlearn

References

• [1] Abhishek Kumar, Piyush Rai, and Hal Daumé. 2011. Co-regularized multi-view spectral clustering. In Proceedings of the 24th International Conference on Neural Information Processing Systems (NIPS'11). Curran Associates Inc., Red Hook, NY, USA, 1413–1421.
• [2] Ng, A.Y. & Jordan, Michael & Weiss, Y. (2001). On Spectral Clustering: Analysis and an Algorithm. Adv. Neural Inf. Process. Syst.. 2.