Publikation: Overlap Removal Methods for Data Projection Algorithms
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Projection algorithms map high dimensional data points to lower dimensions. However, when adding arbitrary shaped objects as representatives for these data points, they may intersect. The positions of these representatives have to be modi ed in order to remove existing overlaps. There are multiple algorithms designed to deal with this layout adjustment problem, which lead to very di erent results. These adjustment strategies are evaluated according to di erent measures for comparison: euclidean distance, area occupancy, and orthogonal ordering. Four common overlap removal algorithms are adopted and evaluated. Taking drawbacks of the observed algorithms into account, a new overlap removal algorithm has been developed. Finally, measures underlay improvements of the new algorithm.
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SPICKER, Marc, 2011. Overlap Removal Methods for Data Projection Algorithms [Bachelor thesis]BibTex
@mastersthesis{Spicker2011Overl-16198, year={2011}, title={Overlap Removal Methods for Data Projection Algorithms}, author={Spicker, Marc} }
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