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Cluster-based dual evolution for multivariate time series: Analyzing COVID-19
This paper proposes a cluster-based method to analyze the evolution of multivariate time series and applies this to the COVID-19 pandemic. On each day, we partition countries into clusters according to both their cases and death counts. The total number of clusters and individual countries’ cluster...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AIP Publishing LLC
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328914/ https://www.ncbi.nlm.nih.gov/pubmed/32611104 http://dx.doi.org/10.1063/5.0013156 |