Visualization Methodology for Multidimensional Scaling | Zendy

Andreas Buja | Zendy; Deborah F. Swayne | Zendy

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Visualization Methodology for Multidimensional Scaling

Author(s) -

Andreas Buja,

Deborah F. Swayne

Publication year - 2002

Publication title -

journal of classification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 40

eISSN - 1432-1343

pISSN - 0176-4268

DOI - 10.1007/s00357-001-0031-0

Subject(s) - multidimensional scaling , visualization , computer science , point (geometry) , scaling , animation , minification , interactive visualization , multivariate statistics , data visualization , point process , data mining , artificial intelligence , algorithm , computer graphics (images) , mathematics , machine learning , statistics , geometry , programming language

We describe methodology for multidimensional scaling based on interactive data visualization.This methodology was enabled by software in which MDS is integrated in a multivariatedata visualization system. The software, called "XGvis", is described in a companion paper(Buja et al. 2001) that lays out the implemented functionality in some detail; in the currentpaper we focus on the use of this functionality in the analysis of proximity data. We thereforedo not dwell on the...

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