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
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;
Conference_Titel :
Information Visualization '96, Proceedings IEEE Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7668-X
DOI :
10.1109/INFVIS.1996.559223
