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RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
2015 IEEE International Workshop on Measurements and Networking, M and N 2015 - Proceedings(1)
Advances in Data Analysis and Classification(1)
Chemosphere(1)
Journal of Applied Statistics(1)
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Clustering Disjoint HJ-Biplot: A new tool for identifying pollution patterns in geochemical studies
ArticleAbstract: This paper introduces a new mathematical algorithm termed Clustering Disjoint HJ-Biplot (CDBiplot),Palabras claves:Disjoint factorial axes, HJ-biplot, Sediment pollutionAutores:Carlos Sierra, Nieto-Librero A.B., Purificación Galindo-Villardón, Ruiz Barzola Omar, Vicente-Galindo P.Fuentes:googlescopusBatch process control and monitoring: a Dual STATIS and Parallel Coordinates (DS-PC) approach
ArticleAbstract: Multivariate data collected from batches is usually monitored via control charts (CCs) based on MPCAPalabras claves:Batch process, Dual STATIS, multivariate control charts, off-line monitoring, Parallel CoordinatesAutores:Francisco Vera, Jose Moreno-Chavez, Miriam Ramos-Barberán, Miriam Vanessa Hinojosa-Ramos, Purificación Galindo-Villardón, Ruiz Barzola OmarFuentes:googlescopusC<inf>enet</inf>Biplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
ArticleAbstract: In this work, a new mathematical algorithm for sparse and orthogonal constrained biplots, called CenPalabras claves:Constrained singular value decomposition, Elastic net, HJ-biplot, Orthogonality, Sparse biplot, sparsityAutores:González-Garcia N., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusA methodology for biplots based on bootstrapping with r
ArticleAbstract: A biplot is a graphical representation of two-mode multivariate data based on markers for rows and cPalabras claves:Bootstrap confidence interval, graphical methods, multivariate data, Quantiles, softwareAutores:Leiva V., Nieto-Librero A.B., Purificación Galindo-Villardón, Vicente-Galindo P.Fuentes:scopusA new principal component analysis by particle swarm optimization with an environmental application for data science
ArticleAbstract: In this paper, we propose a new method for disjoint principal component analysis based on an intelliPalabras claves:Constrained binary particle swarm optimization, Data Mining, Disjoint principal components, Evolutionary computation, R Software, SINGULAR VALUE DECOMPOSITIONAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusA proposal for spatio-temporal analysis of traffic matrices using HJ-biplot
Conference ObjectAbstract: Since 2002 many works have been published applying Principal Component Analysis (PCA) in the study oPalabras claves:Anomaly detection, HJ-biplot, Traffic analysisAutores:Javier Delgado Álvarez F., Purificación Galindo-VillardónFuentes:scopusData analysis with intersection graphs
Conference ObjectAbstract: This paper presents a new framework for multivariate data analysis, based on graph theory, using intPalabras claves:categorical data, Data models, Data structures, Intersection graphs, Multivariate Data AnalysisAutores:Lobo V., Purificación Galindo-Villardón, Vairinhos V.M.Fuentes:scopusCO-tucker: a new method for the simultaneous analysis of a sequence of paired tables
ArticleAbstract: Relationships between species and their environment are a key component to understand ecological comPalabras claves:CO-TUCKER, Core matrix, joint biplot, multi-way matrices, STATICO, Tucker3Autores:Azeiteiro U.M., Fernández-Gómez M.J., Marques S.C., Mendes S., Pardal M.Â., Purificación Galindo-VillardónFuentes:scopusFocus groups and HJ-Biplot: A new way to the textual analysis
ArticleAbstract: This work moves a step beyond the integration of qualitative methods of research and quantitative tePalabras claves:FOCUS GROUPS, HJ-biplot, Pathological gambling, quality of life, Textual analysisAutores:Julia D.C., Purificación Galindo-Villardón, Vicente-Galindo P.Fuentes:scopusDisjoint and functional principal component analysis for infected cases and deaths due to covid-19 in south american countries with sensor-related data
ArticleAbstract: In this paper, we group South American countries based on the number of infected cases and deaths duPalabras claves:data science, Disjoint and functional components, Infectious diseases, k-means clustering, Multivariate statistical methods, R Software, SARS-COV2, Sensing and data extractionAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Purificación Galindo-Villardón, Xavier CabezasFuentes:googlescopus