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Interactive tool for clustering and forecasting patterns of Taiwan COVID-19 spread
The COVID-19 data analysis is essential for policymakers to analyze the outbreak and manage the containment. Many approaches based on traditional time series clustering and forecasting methods, such as hierarchical clustering and exponential smoothing, have been proposed to cluster and forecast the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246234/ https://www.ncbi.nlm.nih.gov/pubmed/35771759 http://dx.doi.org/10.1371/journal.pone.0265477 |