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Spatial robust fuzzy clustering of COVID 19 time series based on B-splines
The aim of the work is to identify a clustering structure for the 20 Italian regions according to the main variables related to COVID-19 pandemic. Data are observed over time, spanning from the last week of February 2020 to the first week of February 2021. Dealing with geographical units observed at...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123527/ https://www.ncbi.nlm.nih.gov/pubmed/34026473 http://dx.doi.org/10.1016/j.spasta.2021.100518 |