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Recent trends and developments in computational multivariate analysis
Authors:W. J. Krzanowski
Affiliation:(1) Department of Mathematical Statistics and Operational Research, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK
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.
Keywords:Data visualization  high-dimensional data  non-linear ordination  non-parametric fitting  resampling methods  stochastic simulation
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