Interactive bivariate mode tree
Date issued
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
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.
Description
Subject(s)
vizualizace dat, jádrový odhad hustoty
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.