PCACompute Method

Performs PCA. The operator performs %PCA of the supplied dataset. It is safe to reuse the same PCA structure for multiple datasets. That is, if the structure has been previously used with another dataset, the existing internal data is reclaimed and the new @ref eigenvalues, @ref eigenvectors and @ref mean are allocated and computed. The computed @ref eigenvalues are sorted from the largest to the smallest and the corresponding @ref eigenvectors are stored as eigenvectors rows.

public PCA Compute(
	InputArray data,
	InputArray mean,
	PCAFlags flags,
	int maxComponents = 0
)

Public Function Compute ( 
	data As InputArray,
	mean As InputArray,
	flags As PCAFlags,
	Optional maxComponents As Integer = 0
) As PCA

public:
PCA^ Compute(
	InputArray^ data, 
	InputArray^ mean, 
	PCAFlags flags, 
	int maxComponents = 0
)

member Compute : 
        data : InputArray * 
        mean : InputArray * 
        flags : PCAFlags * 
        ?maxComponents : int 
(* Defaults:
        let _maxComponents = defaultArg maxComponents 0
*)
-> PCA