ReversePCATransform

Module:	FoundationPro

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

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

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.

This filter is available on Expert Complexity Level.