Title: Minimization of the mapping error using coordinate descent
Authors: Dzemyda, Gintautas
Bernataviciene, Jolita
Kurasova, Olga
Marcinkevicius, Virginijus
Citation: WSCG '2005: Short Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, p. 169-172.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Short/!WSCG2005_Short_Proceedings_Final.pdf
ISBN: 80-903100-9-5
Keywords: multidimenzionální data;vizualizace;Sammonovo mapování
Keywords in different language: multidimesional data;visualization;Sammon’s mapping
Abstract: Visualization harnesses the perceptual capabilities of humans to provide the visual insight into data. Structure preserving projection methods can be used for multidimensional data visualization. The goal of this paper is to suggest and examine the projection error minimization strategies that would allow getting a better and less distorted projection. The classic algorithm for Sammon’s projection and two new its modifications are examined. All the algorithms are oriented to minimize the projection error because even a slight reduction in the projection error changes the distribution of points on a plane essentially. The conclusions are made on the results of experiments on artificial and real data sets.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Short Papers

Files in This Item:
File Description SizeFormat 
Dzemyda.pdfPlný text50,37 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11236

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.