DocumentCode
2427527
Title
Animating multidimensional scaling to visualize N-dimensional data sets
Author
Bentley, Chris L. ; Ward, Matthew O.
Author_Institution
Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA
fYear
1996
fDate
28-29 Oct 1996
Firstpage
72
Abstract
Many techniques have been developed for visualizing multivariate (multidimensional) data. Most, if not all, are limited by the number of dimensions which can be effectively displayed. Multidimensional scaling (MDS) is an iterative non-linear technique for projecting n-D data down to a lower number of dimensions. This work presents extensions to MDS that enhance visualization of high-dimensional data sets. These extensions include animation, stochastic perturbation, and flow visualization techniques
Keywords
computer animation; data handling; data visualisation; user interfaces; N-dimensional data set visualization; flow visualization; high-dimensional data sets; iterative nonlinear technique; multidimensional data; multidimensional scaling animation; multivariate data; stochastic perturbation; Animation; Color; Computer science; Data visualization; Multidimensional systems; Scattering; Stochastic processes; Stress; Three dimensional displays; Two dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualization '96, Proceedings IEEE Symposium on
Conference_Location
San Francisco, CA
Print_ISBN
0-8186-7668-X
Type
conf
DOI
10.1109/INFVIS.1996.559223
Filename
559223
Link To Document