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Principal Components Analysis (“PCA”)

Filed under: — group @ 28 November 2004

A procedure by which a spatiotemporal data set is decomposed into its leading patterns in both time (see ‘Principal Component’) and space (see ‘Empirical Orthogonal Function’) based on an orthogonal decomposition of the data covariance matrix.


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