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Reverses PCA process. Can be used to transform data back to original feature space.
Name | Type | Description | |
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inTransformedMatrix | Matrix | Data, that was earlier transformed by inPCAFeatureVector. |
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inPCAModel | PCAModel | PCA Model used to create inTransformedMatrix. |
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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 here: Error Handling
Error type | Description |
---|---|
DomainError | Feature vector of inPCAModel and Transformed Data matrices dimensions do not correspond to each other. |
DomainError | Malformed inPCAModel - uneven vector sizes! |
DomainError | Malformed inPCAModel - MeanVector is not row-vector! |
DomainError | Malformed inPCAModel - StandardDeviationVector is not row-vector! |
DomainError | inMeanVector and inStandardDeviationVector have incorrect size for inTransformedMatrix provided! |
Complexity Level
This filter is available on Basic Complexity Level.
Filter Group
This filters is member of PrincipalComponentAnalysis filter group.