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Parallel Computation of Multi-Slice Clustering of Third-Order Tensors
- Publication Year :
- 2023
-
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.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2309.17383
- Document Type :
- Working Paper