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Information space regionalization using adaptive multiplicatively weighted Voronoi diagrams

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3 Author(s)
Reitsma, R. ; Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA ; Trubin, S. ; Sethia, S.

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.

Published in:

Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on

Date of Conference:

14-16 July 2004

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