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Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves

  • Sugnet Gardner
  • Niel le Roux
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Biplots not only are useful graphical representations of multidimensional data,but formulating discriminant analysis in terms of biplot methodology can lead to several novel extensions. In this paper it is shown that incorporating both principal curves and robust canonical variate analysis algorithms in biplot methodology often leads to superior classification.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Sugnet Gardner
    • 1
  • Niel le Roux
    • 1
  1. 1.Department of StatisticsUniversity of StellenboschSouth Africa

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