Parallel Computation of Multi-Slice Clustering of Third-Order Tensors

Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, Mustapha Lebbah
9/29/2023
cs.DCcs.LG

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Abstract

Machine Learning approaches like clustering methods deal with massive datasets that present an increasing challenge. We devise parallel algorithms to compute the Multi-Slice Clustering (MSC) for 3rd-order tensors. The MSC method is based on spectral analysis of the tensor slices and works independently on each tensor mode. Such features fit well in the parallel paradigm via a distributed memory system. We show that our parallel scheme outperforms sequential computing and allows for the scalability of the MSC method.

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Cite this paper

@article{andriantsiory2023parallel,
  title  = {Parallel Computation of Multi-Slice Clustering of Third-Order Tensors},
  author = {Dina Faneva Andriantsiory and Camille Coti and Joseph Ben Geloun and Mustapha Lebbah},
  year   = {2023},
  eprint = {2309.17383},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.17383v1}
}

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