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Principal Components of Shape Variation

Peter Hancock: PCA Of Images

Principal Component Analysis (PCA) is an established statistical technique for extracting the major axes of variation from a high dimensional set of data.  It can be applied to images, here of faces and fish.

There are three sets of PCA animations available:

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