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Factor analysis approach to classify COVID-19 datasets in several regions
Results in Physics ( IF 5.3 ) Pub Date : 2021-03-22 , DOI: 10.1016/j.rinp.2021.104071 Mohammad Reza Mahmoudi , Dumitru Baleanu , Shahab S. Band , Amir Mosavi
中文翻译:
因子分析方法对多个地区的COVID-19数据集进行分类
更新日期:2021-05-03
Results in Physics ( IF 5.3 ) Pub Date : 2021-03-22 , DOI: 10.1016/j.rinp.2021.104071 Mohammad Reza Mahmoudi , Dumitru Baleanu , Shahab S. Band , Amir Mosavi
The aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson’s correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships.
中文翻译:
因子分析方法对多个地区的COVID-19数据集进行分类
这项研究的目的是调查在严重受这种大流行性疾病影响的七个国家中,Covid-19病例数与因死亡而造成的死亡之间的关系。首先,皮尔逊相关性用于确定这些国家之间的关系。然后,将因素分析应用于根据这些国家的关系对其进行分类。