Multiway clustering of 3-order tensor via affinity matrix

Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
3/14/2023
cs.LGstat.ML

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Abstract

We propose a new method of multiway clustering for 3-order tensors via affinity matrix (MCAM). Based on a notion of similarity between the tensor slices and the spread of information of each slice, our model builds an affinity/similarity matrix on which we apply advanced clustering methods. The combination of all clusters of the three modes delivers the desired multiway clustering. Finally, MCAM achieves competitive results compared with other known algorithms on synthetics and real datasets.

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Cite this paper

@article{andriantsiory2023multiway,
  title  = {Multiway clustering of 3-order tensor via affinity matrix},
  author = {Dina Faneva Andriantsiory and Joseph Ben Geloun and Mustapha Lebbah},
  year   = {2023},
  eprint = {2303.07757},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.07757v1}
}

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