Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data

Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data

In this paper, we group South American countries based on the number of infected cases and deaths due to COVID-19. The countries considered are: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Peru, Paraguay, Uruguay, and Venezuela. The data used are collected from a database of Johns Hopkins...

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Bibliographic Details
Main Authors: Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Xavier Cabezas, Víctor Leiva, M. Purificación Galindo-Villardón
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
data science
disjoint and functional components
infectious diseases
k-means clustering
multivariate statistical methods
R software
Online Access:https://www.mdpi.com/1424-8220/21/12/4094

Internet

https://www.mdpi.com/1424-8220/21/12/4094

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