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Proceedings Paper

Visualizing multidimensional nongeometric data sets
Author(s): Rajehndra Nagappan
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Paper Abstract

The multidimensional data orb (mdOrb) is a technique for visualizing sets of discrete data points that possess high dimensionality. The mdOrb partitions a 3D virtual environment into a number of smaller working regions, each representing a lower dimensional projection of the data space. Data points are then projected into and visualized in each of these regions, and the relationships between regions allow for interpretation of the data in many dimensions. The algorithm is based on the distribution of a set of axes form a common central origin to the surface of a sphere. The axes represent the dimensions of the data space. Adjacent axes and the spaces they form can be used for varying visualization strategies, in this paper a number of such strategies are described. The mdOrb is an interactive system in which the user can move axes about the sphere's surface, changing the proximity of axes to each other and thus reconfiguring the set of adjacencies and visualization spaces. The mdOrb is a visualization algorithm that allows easy exploration, manipulation and visualization of complex multidimensional data spaces.

Paper Details

Date Published: 28 February 2000
PDF: 9 pages
Proc. SPIE 3960, Visual Data Exploration and Analysis VII, (28 February 2000); doi: 10.1117/12.378902
Show Author Affiliations
Rajehndra Nagappan, Australian National Univ. (Australia)

Published in SPIE Proceedings Vol. 3960:
Visual Data Exploration and Analysis VII
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink, Editor(s)

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