Visual Analysis of Multivatiate Data
AbstractThe article presents and investigates new possibilities of multivariate data visualization and their analytical convenience. We demonstrate elementary principles, algorithms and graphical outputs of modern visualization methods with particular focus on Bertin matrices, RADVIZ, Projection pursuit and parallel coordinates. Illustrative examples show their practical implementation into the process of multivariate data analysis, hence providing the reader with an idea of the wide range of their application.
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Bibliographic InfoArticle provided by University of Economics, Prague in its journal Acta Oeconomica Pragensia.
Volume (Year): 2007 (2007)
Issue (Month): 1 ()
Postal: Redakce Acta Oeconomica Pragensia, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
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