loading...
Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams
London, England July 14-July 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320159Eighth International Conference on In ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ren? Reitsma, Oregon State University
Stanislav Trubin, Oregon State University
Saurabh Sethia, Oregon State University
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.
Citation:
Ren? Reitsma, Stanislav Trubin, Saurabh Sethia, "Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams," iv, pp.290-294, Eighth International Conference on Information Visualisation (IV'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.