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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
REA Press
2024-03-01
|
| Series: | Computational Algorithms and Numerical Dimensions |
| Subjects: | |
| Online Access: | https://www.journal-cand.com/article_193189_c8e4e9f17168ba351a67f4e38d885225.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|