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Statistics and Computing

, Volume 7, Issue 2, pp 87–99 | Cite as

Recent trends and developments in computational multivariate analysis

  • W. J. Krzanowski
Article

Abstract

Many traditional multivariate techniques such as ordination, clustering, classification and discriminant analysis are now routinely used in most fields of application. However, the past decade has seen considerable new developments, particularly in computational multivariate methodology. This article traces some of these developments and highlights those trends that may prove most fruitful for future practical implementation.

Data visualization high-dimensional data non-linear ordination non-parametric fitting resampling methods stochastic simulation 

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Copyright information

© Chapman and Hall 1997

Authors and Affiliations

  • W. J. Krzanowski
    • 1
  1. 1.Department of Mathematical Statistics and Operational ResearchUniversity of ExeterUK

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