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Brief Review of Functional Data Analysis: A Case Study on Regional Demographic and Economic Data
Conference ObjectAbstract: Functional data analysis (FDA) is an important recent field in statistics that enables us to analyzePalabras claves:CLÚSTER ANALYSIS, Demographic data, functional data analysis, Principal Component AnalysisAutores:Adrián Padilla-Segarra, Isidro Rafael Amaro, Mabel González-Villacorte, Saba Rafael InfanteFuentes:googlescopusCOVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA
Conference ObjectAbstract: With the current pandemic, it is imperative to stay up to date with the news and many sources contriPalabras claves:fake news, Principal Component Analysis, Text classificationAutores:Carlos Chipantiza, Hector Andres Mejia, Isidro Rafael Amaro, Jose Llumiquinga, Rigoberto Fonseca-DelgadoFuentes: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:scopusAlzheimer’s disease diagnosis system using electroencephalograms and machine learning models
ArticleAbstract: Alzheimer’s disease (AD) is a neurodegenerative disorder that gradually destroys brain cells causingPalabras claves:Alzheimer’s disease, Electroencephalograms, feature selection, Feed forward neural networksAutores:Graciela M. Salum, Isidro Rafael Amaro, Paola Martínez-Arias, Rigoberto Fonseca-DelgadoFuentes:googlescopusAn 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:googlescopusHaematological indicators of mortality in people with community-acquired pneumonia living at high altitude
ArticleAbstract:Palabras claves:Autores:Isidro Rafael Amaro, Mora F.X., O. F. Proaño, Santiago J. Ballaz, X. L. Quiroz-CabascangoFuentes: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:scopus