General Tensor Spectral Co-clustering for Higher-Order Data

Tao Wu, Austin R. Benson, David F. Gleich

Neural Information Processing Systems 

The algorithm takes as input a nonnegative tensor, which may be sparse, non-square, and asymmetric, and outputs subsets of indices from each dimension (co-clusters).

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