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
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;
Conference_Titel :
Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
Print_ISBN :
0-7695-2177-0
DOI :
10.1109/IV.2004.1320159
