DocumentCode
3271308
Title
Information space regionalization using adaptive multiplicatively weighted Voronoi diagrams
Author
Reitsma, René ; Trubin, Stanislav ; Sethia, Saurabh
Author_Institution
Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
fYear
2004
fDate
14-16 July 2004
Firstpage
290
Lastpage
294
Abstract
In an attempt to regionalize and visualize regions of information space, we offer a method for regionalization based on predetermined area relationships. This problem can be conceptualized as an inverse multiplicatively weighted Voronoi diagram. To compute such a diagram, we offer an adaptive algorithm. Initial testing indicates good results and quick convergence.
Keywords
computational geometry; data visualisation; adaptive weighted Voronoi diagrams; information space regionalization; information space visualization; inverse weighted Voronoi diagram; multiplicatively weighted Voronoi diagram; multiplicatively weighted Voronoi diagrams; predetermined area relationships; Adaptive algorithm; Computer science; Convergence; Educational institutions; Extraterrestrial measurements; Information systems; Navigation; Testing; Visualization; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
ISSN
1093-9547
Print_ISBN
0-7695-2177-0
Type
conf
DOI
10.1109/IV.2004.1320159
Filename
1320159
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