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sgsPy
structurally guided sampling
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#include <pca.h>
Public Attributes | |
| std::vector< std::vector< T > > | eigenvectors |
| std::vector< T > | eigenvalues |
| std::vector< double > | means |
| std::vector< double > | stdevs |
This struct contains the output eigenvectors and eigenvalues for the principal components. It also contains the mean and standard deviation for each raster band.
The mean and standard deviation are used when writing the outputs to both center and scale each band. The eigenvectors are then used when calculating the output principal component values.
| std::vector<T> sgs::pca::PCAResult< T >::eigenvalues |
| std::vector<std::vector<T> > sgs::pca::PCAResult< T >::eigenvectors |
| std::vector<double> sgs::pca::PCAResult< T >::means |
| std::vector<double> sgs::pca::PCAResult< T >::stdevs |