Covid-19 pandemic data analysis using tensor methods

In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition...

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Bibliographic Details

Published in:	Computational Algorithms and Numerical Dimensions
Main Authors:	Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca
Format:	Article
Language:	English
Published:	REA Press 2024-03-01
Subjects:	tensor tensor completion tensor decomposition covid-19 spatiotemporal data
Online Access:	https://www.journal-cand.com/article_193189_c8e4e9f17168ba351a67f4e38d885225.pdf