Modelo de análisis de las series de tiempo de contagios de COVID-19 basado en el agrupamiento jerárquico

Abstract

Currently, worldwide the COVID-19 virus has generated impacts on all human development activities. There is a worldwide effort by the research community to explore the impact of the pandemic based on available data. Many different disciplines are trying to find solutions and drive strategies for a wide variety of very different crucial problems, including artificial intelligence. This study aims to cluster the various countries describing the course of the COVID-19 outbreak using hierarchical clustering. This paper presents a proposal of innovative development using visual programming to analyze the data acquired from John Hopkin University and the World Bank.