Title: Interactive bivariate mode tree
Authors: Florek, Martin
Hauser, Helwig
Citation: WSCG ’2011: Poster Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision: University of West Bohemia, Plzen, Czech Republic, January 31 - February 3, 2011, p. 41-46.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG_Poster_Papers.pdf
ISBN: 978-80-86943-81-7
Keywords: vizualizace dat;jádrový odhad hustoty
Keywords in different language: mode tree;data visualization;kernel density estimation
Abstract: Kernel density estimation (KDE) is widely used statistical method to study distribution of the data. The problem with this method is choosing the right bandwidth. In our work we focus on semiautomatic bandwidth selection with the use of visual paradigm of the Mode Tree. We not only enhanced the bivariate mode tree visualization, which was only sketched by the authors, but we also developed a hybrid CPU/GPU implementation to improve the speed of the mode tree construction. Keywords: Mode Tree, Data Visualization, Kernel Density Estimation, GPU.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Poster Paper Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/414

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