Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams

I
IV
2004
Eighth International Conference on Information Visualisation (IV'04)
Abstract - Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams

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Eighth International Conference on Information Visualisation (IV'04)

London, England

July 14-July 16

ISBN: 0-7695-2177-0

	ASCII Text	x
	Ren? Reitsma, Stanislav Trubin, Saurabh Sethia, "Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams," Information Visualisation, International Conference on, pp. 290-294, Eighth International Conference on Information Visualisation (IV'04), 2004.

	BibTex	x
	@article{ 10.1109/IV.2004.1320159, author = {Ren? Reitsma and Stanislav Trubin and Saurabh Sethia}, title = {Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams}, journal ={Information Visualisation, International Conference on}, volume = {0}, year = {2004}, issn = {1093-9547}, pages = {290-294}, doi = {http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320159}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Visualisation, International Conference on TI - Information Space Regionalization Using Adaptive Multiplicatively Weighted Voronoi Diagrams SN - 1093-9547 SP290 EP294 A1 - Ren? Reitsma, A1 - Stanislav Trubin, A1 - Saurabh Sethia, PY - 2004 KW - null VL - 0 JA - Information Visualisation, International Conference on ER -

Ren? Reitsma, Oregon State University

Stanislav Trubin, Oregon State University

Saurabh Sethia, Oregon State University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IV.2004.1320159

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

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