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

机译:基于2020年Covid 19患者的累积相对数量的欧洲国家和地区的聚类

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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.
机译:Coronavirus Covid-19受到2020年的所有国家和地区。在这项研究中,我们根据欧洲Covid-19患者的累积相对数量组成欧洲国家。 群集基于在欧洲疾病预防和控制网站上发布的公开数据,并通过三种聚类方法进行:K-Meanse,Conglomerative和Birch聚类。 通过轮廓系数值评估的聚类性能,显示了满足所获得的集群的精度。 本研究中提出的结果对于公共卫生官员和从业者可以更容易处理Covid-19挑战。

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