Gaining understanding of multivariate and multidimensional data through visualization (English)

In: Computers and Graphics   ;  28 ,  3  ;  311-325  ;  2004
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AbstractHigh dimensionality is a major challenge for data visualization. Parameter optimization problems require an understanding of the behaviour of the objective function in the n-dimensional space around the optimum—this is multidimensional visualization and is the traditional domain of scientific visualization. Large data tables require us to understand the relationship between attributes in the table—this is multivariate visualization and is an important aspect of information visualization. Common to both types of ‘high-dimensional’ visualization is a need to reduce the dimensionality for display. In this paper we present a uniform approach to the filtering of both multidimensional and multivariate data, to allow extraction of data subject to constraints on their position or value within an n-dimensional window, and on choice of dimensions for display. A simple example of understanding the trajectory of solutions from an optimization algorithm is given—this involves a combination of multidimensional and multivariate data.

  • Title:
    Gaining understanding of multivariate and multidimensional data through visualization
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  • Published in:
    Computers and Graphics ; 28 ; 3 ; 311-325
  • Publisher:
    Elsevier Ltd
  • Year of publication:
    2004
  • Size:
    15 pages
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  • DOI:
  • Type of media:
    Article (Journal)
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents – Volume 28, Issue 3

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The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

309
Visual knowledge discovery
Marcos, Adèrito Fernandes / Müller, Wolfgang / Schumann, Heidi | 2004
311
Gaining understanding of multivariate and multidimensional data through visualization
dos Santos, Selan / Brodlie, Ken | 2004
327
Pixel based visual data mining of geo-spatial data
Keim, Daniel A. / Panse, Christian / Sips, Mike / North, Stephen C. | 2004
345
Hierarchical graph maps
Abello, James | 2004
361
Revealing the connoted visual code: a new approach to video classification
Cavet, René / Volmer, Stephan / Leopold, Edda / Kindermann, Jörg / Paaß, Gerhard | 2004
371
Mining geo-referenced data with qualitative spatial reasoning strategies
Santos, Maribel Yasmina / Amaral, Luı́s Alfredo | 2004
381
Special issue on Education
Finnegan, John / Kjelldahl, Lars | 2004
383
A top-down approach to teaching introductory computer graphics
Sung, Kelvin / Shirley, Peter | 2004
393
Teaching computer graphics constructively
Taxén, Gustav | 2004
401
The process of effective critiques
Whittington, Jana | 2004
409
Learning science inquiry skills in a virtual field
Johnson, Andrew / Moher, Thomas / Cho, Yong-Joo / Edelson, Danny / Russell, Eric | 2004
417
Polynomiography and applications in art, education, and science
Kalantari, Bahman | 2004
431
The 3x+1 fractal
Pe, Joseph L. | 2004
437
External arguments of Douady cauliflowers in the Mandelbrot set
Romera, M. / Pastor, G. / Álvarez, G. / Montoya, F. | 2004
451
Visual perception in computer graphics courses
Kjelldahl, Lars / Santos, Beatriz Sousa | 2004
457
ICPNM - International Certificate Program for New Media
| 2004
458
SIGGRAPH 2004
| 2004
459
CATE 2004 (IASTED conference on computers and advanced technology in education)
| 2004
459
CGIM 2004 (IASTED conf. on Comp Graphics; Imaging)
| 2004
459
Graphics hardware 2004
| 2004
460
Acivs 2004 (advanced concepts for intelligent vision systems)
| 2004
460
CONVR 2004 (construction applications of virtual reality)
| 2004
460
EUROGRAPHICS 2004
| 2004
461
IWVR 2004 (Virtual Rehabilitation)
| 2004
461
ACM multimedia 2004
| 2004
462
IEEE visualization 2004
| 2004
462
CW 2004 (Cyberworlds)
| 2004
463
Past/future issues
| 2004
464
Special issue on class A surfaces
| 2004
CO2
Editorial Board
| 2004