#include <op_princomp_bones.hpp>
Static Public Member Functions | |
| template<typename T1 > | |
| static void | apply (Mat< typename T1::elem_type > &out, const Op< T1, op_princomp > &in) |
| template<typename eT > | |
| static bool | direct_princomp (Mat< eT > &coeff_out, const Mat< eT > &in) |
| principal component analysis – 1 argument version computation is done via singular value decomposition coeff_out -> principal component coefficients More... | |
| template<typename eT > | |
| static bool | direct_princomp (Mat< eT > &coeff_out, Mat< eT > &score_out, const Mat< eT > &in) |
| principal component analysis – 2 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples More... | |
| template<typename eT > | |
| static bool | direct_princomp (Mat< eT > &coeff_out, Mat< eT > &score_out, Col< eT > &latent_out, const Mat< eT > &in) |
| principal component analysis – 3 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors More... | |
| template<typename eT > | |
| static bool | direct_princomp (Mat< eT > &coeff_out, Mat< eT > &score_out, Col< eT > &latent_out, Col< eT > &tsquared_out, const Mat< eT > &in) |
| principal component analysis – 4 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors tsquared_out -> Hotelling's T^2 statistic More... | |
| template<typename T > | |
| static bool | direct_princomp (Mat< std::complex< T > > &coeff_out, const Mat< std::complex< T > > &in) |
| principal component analysis – 1 argument complex version computation is done via singular value decomposition coeff_out -> principal component coefficients More... | |
| template<typename T > | |
| static bool | direct_princomp (Mat< std::complex< T > > &coeff_out, Mat< std::complex< T > > &score_out, const Mat< std::complex< T > > &in) |
| principal component analysis – 2 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples More... | |
| template<typename T > | |
| static bool | direct_princomp (Mat< std::complex< T > > &coeff_out, Mat< std::complex< T > > &score_out, Col< T > &latent_out, const Mat< std::complex< T > > &in) |
| principal component analysis – 3 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors More... | |
| template<typename T > | |
| static bool | direct_princomp (Mat< std::complex< T > > &coeff_out, Mat< std::complex< T > > &score_out, Col< T > &latent_out, Col< std::complex< T > > &tsquared_out, const Mat< std::complex< T > > &in) |
| principal component analysis – 4 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples latent_out -> eigenvalues of principal vectors tsquared_out -> Hotelling's T^2 statistic More... | |
Definition at line 20 of file op_princomp_bones.hpp.