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Generalizations and Adaptations of Principal Component Analysis

  • I. T. Jolliffe
Part of the Springer Series in Statistics book series (SSS)

Abstract

The basic technique of PCA has been generalized or adapted in many ways, and some have already been discussed, in particular in Chapter 11 where adaptations for special types of data were described. This final chapter discusses a number of additional generalizations and modifications; for several of them the discussion is very brief in comparison to the large amount of material that has appeared in the literature, because most have yet to be used widely in practice.

Keywords

Principal Component Analysis Correspondence Analysis Instrumental Variable Double Centring Weight Principal Component Analysis 
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 Science+Business Media New York 1986

Authors and Affiliations

  • I. T. Jolliffe
    • 1
  1. 1.Mathematical InstituteUniversity of KentKentEngland

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