Fuzzy Clustering Methods to Identify the Epidemiological Situation and Its Changes in European Countries during COVID-19

The main research question concerned the identification of changes in the COVID-19 epidemiological situation using fuzzy clustering methods. This research used cross-sectional time series data obtained from the European Centre for Disease Prevention and Control. The identification of country types i...

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Detalles Bibliográficos
Autores principales: Łuczak, Aleksandra, Kalinowski, Sławomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774388/
https://www.ncbi.nlm.nih.gov/pubmed/35052040
http://dx.doi.org/10.3390/e24010014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774388/
https://www.ncbi.nlm.nih.gov/pubmed/35052040
http://dx.doi.org/10.3390/e24010014

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