Weighted distance mapping (WDM)


Broek, Egon L. van den and Schouten, Theo E. and Kisters, Peter M.F. and Kuppens, Harco C. (2005) Weighted distance mapping (WDM). In: IEE International Conference on Visual Information Engineering, VIE 2005, 4-6 April 2005, Glasgow, Scotland, UK (pp. pp. 157-164).

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Abstract:A new distance mapping technique is introduced: weighted distance mapping (WDM). It is based on an adapted version of Fast Exact Euclidean Distance (FEED) transforms. It computes, after assigning a metric, a probability space for partly categorized or clustered data. This is visualized by gradual intensity changes as illustrated by the categorization of a color space based on clustered data points. In addition, edge detection of boundaries between categories can be done to find exact borders of clusters or categories. Hence, Voronoi diagrams can be created. The proposed WDMs, with or without exact edges, provide a new rich source for data analysis as well as an intuitive method of describing structure in data.
Item Type:Conference or Workshop Item
Copyright:© 2005 IEE
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/79125
Official URL:https://doi.org/10.1049/cp:20050085
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