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Principal Component Analysis

  • Hans Wackernagel
Chapter

Abstract

Principal component analysis is the most widely used method of multivariate data analysis owing to the simplicity of its algebra and to its straightforward interpretation.

Keywords

Principal Component Analysis Multivariate Outlier Orthogonal Factor Seismic Trace Uncorrelated Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Hans Wackernagel
    • 1
  1. 1.Centre de GéostatistiqueEcole des Mines de ParisFontainebleauFrance

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