Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Abstract

The coronavirus COVID-19 has been affected all the countries and territories in 2020. In this study we cluster European countries according to the cumulative relative number of European COVID-19 patients. The clustering is based on publicly available data published at European Centre for Disease Prevention and Control website and performed by three clustering methods: K-means, agglomerative and BIRCH clustering. Clustering performance, evaluated by Silhouette Coefficient value, shows satisfying accuracy of the obtained clusters. The results presented in this study can be useful to public health officers and practitioners to easier deal with COVID-19 challenges.

Investigating the COVID19 Characteristics of the Countries Based on Time Series Clustering

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Algoritmos de aprendizado de máquina na análise das relações entre grupos sanguíneos ABO e mortes por Covid-19

“…Recentes trabalhos podem ser encontrados na literatura envolvendo estudos acerca de técnicas estatísticas e numéricas para classificação em diferentes áreas da medicina, como k-médias (ANAND, VENI, ARAVINTH, 2016; ZUBAIR, 2020), análise de componentes principais (MAHMOUDI, et al, 2021;RAJ, et al, 2020;Wang, Jiang, 2021), árvore de regressão (ERMARTH, et al, 2017;XIAO, et al, 2020), método hierárquico (YUE, et. al., 2019;CRNOGORAC, et al, 2021).…”