Performs PCA analysis of the vector set. First, it uses cvCalcCovarMatrix to compute covariation matrix and then it finds its eigenvalues and eigenvectors. The output number of eigenvalues/eigenvectors should be less than or equal to MIN(rows(data),cols(data)).

public static void cvCalcPCA(
	IntPtr data,
	IntPtr avg,
	IntPtr eigenvalues,
	IntPtr eigenvectors,
	PCA_TYPE flags
)

Public Shared Sub cvCalcPCA ( _
	data As IntPtr, _
	avg As IntPtr, _
	eigenvalues As IntPtr, _
	eigenvectors As IntPtr, _
	flags As PCA_TYPE _
)

public:
static void cvCalcPCA(
	IntPtr data, 
	IntPtr avg, 
	IntPtr eigenvalues, 
	IntPtr eigenvectors, 
	PCA_TYPE flags
)