Gaining understanding of multivariate and multidimensional data through visualization

Computers and Graphics (Pergamon)

Volumn 28, Issue 3, 2004, Pages 311-325

  Dos Santos, Selan ^a   Brodlie, Ken ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Multidimensional; Multivariate; Reference model; Visualization

Indexed keywords

CONTROL SYSTEMS; HIERARCHICAL SYSTEMS; INFORMATION SCIENCE; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING;

INFORMATION VISUALIZATION; MULTIDIMENSIONAL; MULTIVARIATE; REFERENCE MODELS;

DATA REDUCTION;

EID: 2542466089     PISSN: 00978493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cag.2004.03.013     Document Type: Article

References (29)

1. Wong PC, Bergeron RD. Scientific visualization - Overviews, methodologies and techniques. Silver Spring, MD: IEEE Computer Society Press; 1997. Years of multidimensional multivariate visualization, p. 3-33 [chapter 30].
2. Martinez W., Martinez A. Computational statistics handbook with MATLAB. 2002;Chapman & Hall, London.
3. van Liere R., van Wijk J.J. Visualization of multi-dimensional scalar functions using hyperslice. CWI Quarterly. 7(2):1994;147-158.
4. van Wijk JJ, van Liere R. Hyperslice - visualization of scalar function of many variables. In: Proceeding of the IEEE Conference on Visualization (Visualization '93), 1993. p. 119-25.
5. Cleveland WS, Visualizing data. Hobart Press, New Jersey, USA, 1993.
6. Inselberg A, Dimsdale B. Parallel coordinates: a tool for visualizing multi-dimensional geometry. In: Proceedings of the First IEEE Conference on Visualization, 1990. p. 361-70.
7. Chernoff H. The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association. 68:1973;361-368.
8. Pickett RM, Grinstein GG. Iconographic displays for visualizing multidimensional data. In: Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, vol. 1, 1988. p. 514-9.
9. Andrews D.F. Plots of high-dimensional data. Biometrics. 29:1972;125-136.
10. Feiner SK, Beshers C. Worlds within worlds: metaphors for exploring n-dimensional virtual worlds. In: Proceedings of the Third Annual ACM SIGGRAPH Symposium on User Interface Software and Technology, 1990. p. 76-83.
11. Mihalisin T., Timlin J., Schwegler J. Visualizing multivariate functions, data, and distributions. IEEE Computer Graphics and Applications. 11(3):1991;28-35.
12. Keim D.A. Designing pixel-oriented visualization techniques. theory and applications IEEE Transactions on Visualization and Computer Graphics. 6(1):2000;59-78.
13. Interrante V. Harnessing natural textures for multi-variate visualization. IEEE Computer Graphics and Applications. 20(6):2000;6-11.
14. Healey C.G., Enns J.T. Large datasets at a glance. combining textures and colors in scientific visualization IEEE Transactions on Visualization and Computer Graphics. 5(2):1999;145-167.
15. Osyczka A. Multicriterion optimization for engineering design. Design optimization. New York: Academic Press; 1985, p. 193-227.
16. Haber R.B., McNabb D.A. Visualization idioms. a conceptual model for scientific visualization systems Nielson G.M., Shriver B., Rosenblum L.J. Visualization in scientific computing. 1990;p74-p93 IEEE Computer Society Press, Silver Spring, MD.
17. NAG IRIS Explorer. Web site, http://www.nag.co.uk (2003).
18. Open Visualization Data Explorer. Web site, http://www.opendx.org/ (2003).
19. Schroeder W, Martin K, Lorensen B. The visualization toolkit an object-oriented approach to 3D graphics, 3rd ed. Kitware Inc.; 2003: http://public.kitware.com/VTK/ .
20. Jackson J.E. A user's guide to principal components. Wiley series in probability and mathematical statistics. 1991;Wiley, New York.
21. Mead A. Review of the development of multidimensional scaling methods. Statistician. 41(1):1992;27-39.
22. Yang J., Ward M.O., Rundensteiner E.A., Huang S. Visual hierarchical dimension reduction for exploration of high dimensional datasets. Bonneau G.P., Hahmann S., Hansen C. Proceedings of the Joint Eurographics/IEEE TVCG Symposium on Data Visualization 2003. 2003;p19-p28 IEEE Press/ACM Press, New York.
23. Becker R., Cleveland W. Brushing scatterplots. Technometrics. 29(2):1987;127-142.
24. Chi EH, A taxonomy of visualization techniques using the data state reference model. In: Proceedings of Symposium on Information Visualization. New York: IEEE Press; 2000. p. 69-75.
25. Spoerri A. Infocrystal: a visual tool for information retrieval and management. In: Proceedings of the Second International Conference on Information and Knowledge Management (CIKM), Washington, DC, United States, 1993. p. 11-20.
26. dos Santos SR, Brodlie KW. Visualizing and investigating multidimensional functions. In: Ebert D, Brunet P, Navazo I, Editors. Proceedings of the Joint Eurographics/IEEE TVCG Symposium on Data Visualization 2002. Barcelona, Spain: IEEE Press/ACM Press; 2002. p. 173-81,276.
27. Conn A.R., Gould N.I.M., Toint P. Testing a class of methods for solving minimization problems with simple bounds on the variables. Mathematics of Computation. 50:1988;399-430.
28. Nelder J.A., Mead R. A simplex method for function minimization. Computer Journal. 7(4):1965;308-313.
29. North C, Shneiderman B. Snap-together visualization: a user interface for coordinating visualizations via relational schemata. In: Proceedings of Advanced Visual Interfaces 2000, 2000. p. 128-35.