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Communications in Computer and Information Science(3)
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Assessing the COVID-19 Vaccination Process via Functional Data Analysis
Conference ObjectAbstract: This manuscript aims to assess the evolution of the COVID-19 vaccination process in some American anPalabras claves:covid-19, Functional clustering, functional data analysis, Functional Principal Components AnalysisAutores:Christian Calle-Cárdenas, Guido Tapia-Riera, Isidro Rafael Amaro, Lenin Riera-Segura, Saba Rafael InfanteFuentes:googlescopusCOVID-19 data analysis using HJ-Biplot method: A study case
ArticleAbstract: COVID-19 is a new viral disease declared as a pandemic by the World Health Organization in 2020. ThiPalabras claves:CLÚSTER, covid-19, Health condition, HJ-biplot, OrdinationAutores:Franklin Tenesaca-Chillogallo, Isidro Rafael AmaroFuentes:scopusAn Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
Conference ObjectAbstract: Even though there already exists a wide variety of epidemiological models, it’s worthwhile to applyPalabras claves:covid-19, functional data analysis, Functional principal component analysis, Latin AmericaAutores:Diana Chaglla, Isidro Rafael Amaro, Saba Rafael InfanteFuentes:scopusAn Exploratory Analysis of COVID-19 in South America: Relationship Between Public Health Damages and Economic Impact in the Region
Conference ObjectAbstract: In the context of the COVID-19 pandemic, in the present work, we will use two main data visualizatioPalabras claves:Biplot first section, Clustering, covid-19, Multivariate statistical analysis, PCa, SARS-COV-2Autores:Génesis Carrillo, Isidro Rafael Amaro, Santiago PozoFuentes:scopusDimensionality Reduction Using PCA and CUR Algorithm for Data on COVID-19 Tests
Conference ObjectAbstract: In this paper we present the results of two well known analyses, Principal Component Analysis and CUPalabras claves:covid-19, CUR algorithm, principal components analysisAutores:Franklin José Camacho, Isidro Rafael Amaro, Marco Enríquez, Samantha NaranjoFuentes:googlescopusHJ-Biplot and Clustering to Analyze the COVID-19 Vaccination Process of American and European Countries
Conference ObjectAbstract: HJ-Biplot and Cluster Analysis are used in a data set that contains variables related to the impactPalabras claves:CLÚSTER ANALYSIS, covid-19, HJ-biplot, VaccinationAutores:Guido Tapia-Riera, Harvey Marin-Calispa, Isidro Rafael Amaro, Lenin Riera-Segura, Saba Rafael InfanteFuentes:googlescopusHealth Impact Analysis of COVID-19 in Ecuadorian Provinces: A Statistical Approach
Conference ObjectAbstract: In this work, we analyze the health impact of COVID-19, focusing on the number of deaths per millionPalabras claves:Canonical Biplot, classification, CLÚSTER ANALYSIS, Coloring, covid-19, Ecuadorian provincesAutores:Darwin Tallana-Chimarro, Isidro Rafael Amaro, M. C. SabandoFuentes:scopusIdentifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-Layer Clustering Method
Conference ObjectAbstract: This paper presents a new clustering algorithm to identify groups of countries. First, a layer of sePalabras claves:Clustering, covid-19, K-Means, self-organizing map, Two-layer clusteringAutores:Carlos Muñoz-Moncayo, Isidro Rafael Amaro, Israel Pineda, Juan RiofríoFuentes:scopus