Chapter 17. Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods

  1. Clemens Reimann M.Sc. in Mineralogy and Petrology, Ph.D. in Geosciences, D.Sc. in Applied Geochemistry lecturer senior geochemist director professor chairman acting vice president associate editor1,
  2. Peter Filzmoser Applied Mathematics visiting professor2,
  3. Robert G. Garrett Mining Geology and Applied Geochemistry Emeritus Scientist3,
  4. Rudolf Dutter M.Sc., Ph.D. senior statistician full professor post-doctoral fellow2

Published Online: 18 APR 2008

DOI: 10.1002/9780470987605.ch17

Book Title

Statistical Data Analysis Explained: Applied Environmental Statistics with R

Statistical Data Analysis Explained: Applied Environmental Statistics with R

Additional Information

How to Cite

Reimann, C., Filzmoser, P., Garrett, R. G. and Dutter, R. (2008) Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods, in Statistical Data Analysis Explained: Applied Environmental Statistics with R, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470987605.ch17

Author Information

  1. 1

    Geological Survey of Norway, Norway

  2. 2

    Vienna University of Technology, Austria

  3. 3

    Geological Survey of Canada, Canada

Publication History

  1. Published Online: 18 APR 2008
  2. Published Print: 4 APR 2008

ISBN Information

Print ISBN: 9780470985816

Online ISBN: 9780470987605

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CHAPTER TOOLS

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Keywords:

  • discriminant analysis (DA);
  • linear (LDA) and quadratic (QDA) discriminant analysis;
  • censored data and covariance-based methods;
  • discriminant function visualisation;
  • discriminant analysis prediction;
  • exploring data structure;
  • knowledge-based classification methods;
  • Mahalanobis distances and Generalised Discriminant Analysis (GDA);
  • linear and quadratic discriminant analysis (LDA, QDA)

Summary

This chapter contains sections titled:

  • Methods for discriminant analysis

  • Data requirements for discriminant analysis

  • Visualisation of the discriminant function

  • Prediction with discriminant analysis

  • Exploring for similar data structures

  • Other knowledge-based classification methods

  • Summary

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