Abstract
When visualizing multivariate data as parallel coordinates, although it is convenient to view the relationship between two adjacent dimensions, the exploring of the relationships among three or more nonadjacent dimensions is relatively difficult. In this paper, we propose a way to solve this problem by using axis-translation method and axis-comparison method, which can keep the original positions of axes and exploring the relationships among three or more nonadjacent dimensions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
d’Ocagne, M.: Coordonnées Parallèles et Axiales: Mthode de transformatio ngéométrique et procédé nouveau de calcul graphique déduits de la considération des coordonnées parallèlles. Gauthier-Villars, Paris (1885)
Inselberg, A.: The Plane with Parallel Coordinates. Visual Computer 1(4), 69–91 (1985)
Wegman, E.J.: Hyperdimensional Data Analysis Using Parallel Coordinates. Journal of the American Statistical Association 85(411), 664–675 (1990)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, C., Sakamoto, N., Koyamada, K. (2012). Detection of Linear Relationship among Dimensions in Multivariate Data by Parallel Coordinates. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34384-1_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-34384-1_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34383-4
Online ISBN: 978-3-642-34384-1
eBook Packages: Computer ScienceComputer Science (R0)