Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications

@inproceedings{Ghoshdastidar2015SpectralCU,
  title={Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications},
  author={Debarghya Ghoshdastidar and Ambedkar Dukkipati},
  booktitle={AAAI},
  year={2015}
}
Spectral clustering, a graph partitioning technique, has gained immense popularity in machine learning in the context of unsupervised learning. This is due to convincing empirical studies, elegant approaches involved and the theoretical guarantees provided in the literature. To tackle some challenging problems that arose in computer vision etc., recently, a need to develop spectral methods that incorporate multi-way similarity measures surfaced. This, in turn, leads to a hypergraph partitioning… CONTINUE READING