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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...

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Detalhes bibliográficos
Publicado no:Spat Stat
Main Authors: D’Urso, Pierpaolo, De Giovanni, Livia, Vitale, Vincenzina
Formato: Artigo
Idioma:Inglês
Publicado em: Published by Elsevier B.V. 2022
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8123527/
https://ncbi.nlm.nih.gov/pubmed/34026473
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spasta.2021.100518
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