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ReversePCATransform


Module: FoundationPro

Reverses Principal Component Analysis (PCA) process. Can be used to transform data back to original feature space.

Name Type Description
Input value
inTransformedMatrix Matrix Data that was transformed earlier.
Input value
inPCAModel PCAModel PCA model used to create inTransformedMatrix.
Output value
outMatrix Matrix inTransformedMatrix transformed back to its original feature space.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Feature vector of inPCAModel and Transformed Data matrices dimensions do not correspond to each other in ReversePCATransform.
DomainError inMeanVector and inStandardDeviationVector have incorrect size for inTransformedMatrix provided in ReversePCATransform.
DomainError Malformed inPCAModel - StandardDeviationVector is not row-vector in ReversePCATransform.
DomainError Malformed inPCAModel - MeanVector is not row-vector in ReversePCATransform.
DomainError Malformed inPCAModel - uneven vector sizes in ReversePCATransform.

Complexity Level

This filter is available on Expert Complexity Level.