Soft independent modelling of class analogies

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Soft independent modelling of class analogies (SIMCA) is a statistical method based on construction of mathematical descriptions of clusters of data.

It uses PCA as a starting point. New data is identified by its position within a cluster. Used extensively as a mutivariate statistical approach to pattern recognition.

Image:SIMCA.PCA.JPG

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