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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| 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 |