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Memorias de investigación
Artículos en revistas:
New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: a study based on loss of quality quantification
Áreas de investigación
  • Ciencias de la computación y tecnología informática,
  • Sistema informático,
  • Informática,
  • Tratamiento de datos
Most visualization techniques have traditionally used 2D, instead of 3D representations to visualize multidimensional and multivariate data. In this paper, a way to demonstrate the underlying superiority of 3D, with respect to 2D representations, is proposed. Speci?cally, it is based on the inevitable quality degradation produced when reducing the data dimensionality. The problem is tackled from two di erent approaches: a visual and an analytical approach. Firstly, a set of statistical tests (point classi?cation, distance perception and outlier identi?cation) using the 2D and 3D visualization are carried out on a group of 40 users. The results indicate that there is an improvement in the accuracy and e?ciency introduced by the inclusion of a third dimension, however these results do not allow to obtain de?nitive conclusions on the superiority of 3D. Therefore, in order to draw further conclusions, a deeper study based on an analytical approach is proposed. The aim is to quantify the real loss of quality produced when the data is visualized in 2D and 3D spaces, in relation to the original data dimensionality, to analyze the di erence between them. To achieve this, a recently proposed methodology [1] is used. The results obtained by the analytical approach reported that the loss of quality, reaches signi?cantly high values only when switching from 3D to 2D. The considerable quality degradation su ered in the 2D visualization strongly suggests the suitability of the third dimension to visualize data.
Título de la revista
Information Visualization
Factor de impacto JCR
Información de impacto
Número de revista
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Esta actividad pertenece a memorias de investigación
  • Autor: Antonio Gracia Berna (UPM)
  • Autor: Santiago Gonzalez Tortosa (UPM)
  • Autor: Victor Robles Forcada (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
  • Autor: Tatiana von Landesberger (Technische Universitat Darmstadt)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)