New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: a study based on loss of quality quantification

Gracia Berna, Antonio; González Tortosa, Santiago; Robles Forcada, Victor; Menasalvas Ruiz, Ernestina y Von Landesberger, Tatiana (2014). New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: a study based on loss of quality quantification. "Information Visualization", v. 15 (n. 1); pp. 3-30. ISSN 1473-8716. https://doi.org/10.1177/1473871614556393.

Descripción

Título: New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: a study based on loss of quality quantification
Autor/es:
  • Gracia Berna, Antonio
  • González Tortosa, Santiago
  • Robles Forcada, Victor
  • Menasalvas Ruiz, Ernestina
  • Von Landesberger, Tatiana
Tipo de Documento: Artículo
Título de Revista/Publicación: Information Visualization
Fecha: 12 Noviembre 2014
Volumen: 15
Materias:
Palabras Clave Informales: 2D, 3D, manifold learning, dimensionality reduction, loss of quality, quality assessment, criteria, multivariate data, multidimensional data, data visualization
Escuela: Centro de Supercomputación y Visualización de Madrid (CeSViMa) (UPM)
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (6MB) | Vista Previa

Resumen

Most visualization techniques have traditionally used two-dimensional, instead of three-dimensional representations to visualize multidimensional and multivariate data. In this article, a way to demonstrate the underlying superiority of three-dimensional, with respect to two-dimensional, representation is proposed. Specifically, it is based on the inevitable quality degradation produced when reducing the data dimensionality. The problem is tackled from two different approaches: a visual and an analytical approach. First, a set of statistical tests (point classification, distance perception, and outlier identification) using the two-dimensional and three-dimensional visualization are carried out on a group of 40 users. The results indicate that there is an improvement in the accuracy introduced by the inclusion of a third dimension; however, these results do not allow to obtain definitive conclusions on the superiority of three-dimensional representation. 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 are visualized in two-dimensional and three-dimensional spaces, in relation to the original data dimensionality, to analyze the difference between them. To achieve this, a recently proposed methodology is used. The results obtained by the analytical approach reported that the loss of quality reaches significantly high values only when switching from three-dimensional to two-dimensional representation. The considerable quality degradation suffered in the two-dimensional visualization strongly suggests the suitability of the third dimension to visualize data.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaGrant TIN2010-21289-C02-02Sin especificarSin especificarSin especificar

Más información

ID de Registro: 35633
Identificador DC: http://oa.upm.es/35633/
Identificador OAI: oai:oa.upm.es:35633
Identificador DOI: 10.1177/1473871614556393
URL Oficial: http://journals.sagepub.com/doi/abs/10.1177/1473871614556393
Depositado por: Memoria Investigacion
Depositado el: 29 Abr 2017 10:14
Ultima Modificación: 29 Abr 2017 10:14
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM