Multivariate Analysis and Pattern Recognition

Part of the Statistics and Computing book series (SCO)


Multivariate analysis is concerned with datasets that have more than one response variable for each observational or experimental unit. The datasets can be summarized by data matrices X with n rows and p columns, the rows representing the observations or cases, and the columns the variables. The matrix can be viewed either way, depending on whether the main interest is in the relationships between the cases or between the variables. Note that for consistency we represent the variables of a case by the row vector x.


Linear Discriminant Analysis Mahalanobis Distance Projection Pursuit Quadratic Discriminant Analysis Predictive Estimate 
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 1999

Authors and Affiliations

  1. 1.CSIRO Marine LaboratoriesClevelandAustralia
  2. 2.University of OxfordOxfordUK

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