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An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods

The ten countries with the highest population during the pandemic were analyzed for clustering based on the quantitative numbers of COVID-19 and policy plans. The Fuzzy K-Means (FKM) and K-prototype algorithms were used for clustering, and various performance indices such as Partition Coefficient (P...

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Detalles Bibliográficos
Autores principales: Pasin, Ozge, Gonenc, Senem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108788/
https://www.ncbi.nlm.nih.gov/pubmed/37069218
http://dx.doi.org/10.1038/s41598-023-33214-y