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Interactive Bivariate Mode Trees for Visual Structure Analysis

Martin Florek, Helwig Hauser

INPROCEEDINGS, Proceedings of the Spring Conference on Computer Graphics (SCCG 2011), 2011

Abstract

The number of modes in a kernel density estimation of a certain data distribution is strongly dependent on the chosen scale parameter. In this paper, we present an interactive mode tree visualization that allows to visually analyze the modality structure of a data distribution. Due to the branched structure of the bivariate mode tree, composed of many curved arcs in 3D, we need to utilize advanced techniques, including clutter removal through transparency, on demand outlier suppression or preservation, and best views, to improve the legibility of the visualization mapping.

Published

Proceedings of the Spring Conference on Computer Graphics (SCCG 2011)

  • Pages: ??–??
  • Location: Budmerice, Slovakia

Media

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BibTeX

@inproceedings{florekHauser11modeTree,
  author = {Martin Florek and Helwig Hauser},
  title = {Interactive Bivariate Mode Trees for Visual Structure Analysis},
  booktitle = {Proceedings of the Spring Conference on Computer Graphics (SCCG 2011)},
  pages = {??--??},
  year = {2011},
  abstract = {The number of modes in a kernel density estimation of a certain
data distribution is strongly dependent on the chosen scale parameter.
In this paper, we present an interactive mode tree visualization
that allows to visually analyze the modality structure of a data
distribution. Due to the branched structure of the bivariate mode
tree, composed of many curved arcs in 3D, we need to utilize advanced
techniques, including clutter removal through transparency,
on demand outlier suppression or preservation, and best views, to
improve the legibility of the visualization mapping.},
  location = {Budmerice, Slovakia}, 


}






 Last Modified: Jean-Paul Balabanian, 2014-04-09