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arXiv · 2309.17383

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

Dina Faneva Andriantsiory·Camille Coti·Joseph Ben Geloun·Mustapha Lebbah
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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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Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, Mustapha Lebbah. 2023-09-29. Parallel Computation of Multi-Slice Clustering of Third-Order Tensors. https://arxiv.org/abs/2309.17383

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