Classes | |
| class | op_princomp |
Functions | |
| template<typename T1 > | |
| static void | op_princomp::apply (Mat< typename T1::elem_type > &out, const Op< T1, op_princomp > &in) |
| template<typename T > | |
| static bool | op_princomp::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 | |
| template<typename T > | |
| static bool | op_princomp::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 | |
| template<typename T > | |
| static bool | op_princomp::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 | |
| template<typename T > | |
| static bool | op_princomp::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 | |
| template<typename eT > | |
| static bool | op_princomp::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 | |
| template<typename eT > | |
| static bool | op_princomp::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 | |
| template<typename eT > | |
| static bool | op_princomp::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 | |
| template<typename eT > | |
| static bool | op_princomp::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 | |
| void op_princomp::apply | ( | Mat< typename T1::elem_type > & | out, | |
| const Op< T1, op_princomp > & | in | |||
| ) | [inline, static, inherited] |
Definition at line 580 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< std::complex< T > > & | coeff_out, | |
| const Mat< std::complex< T > > & | in | |||
| ) | [inline, static, inherited] |
principal component analysis -- 1 argument complex version computation is done via singular value decomposition coeff_out -> principal component coefficients
Definition at line 542 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< std::complex< T > > & | coeff_out, | |
| Mat< std::complex< T > > & | score_out, | |||
| const Mat< std::complex< T > > & | in | |||
| ) | [inline, static, inherited] |
principal component analysis -- 2 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples
Definition at line 478 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< std::complex< T > > & | coeff_out, | |
| Mat< std::complex< T > > & | score_out, | |||
| Col< T > & | latent_out, | |||
| const Mat< std::complex< T > > & | in | |||
| ) | [inline, static, inherited] |
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
Definition at line 401 of file op_princomp_meat.hpp.
| bool op_princomp::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 | |||
| ) | [inline, static, inherited] |
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
Definition at line 308 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< eT > & | coeff_out, | |
| const Mat< eT > & | in | |||
| ) | [inline, static, inherited] |
principal component analysis -- 1 argument version computation is done via singular value decomposition coeff_out -> principal component coefficients
Definition at line 265 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< eT > & | coeff_out, | |
| Mat< eT > & | score_out, | |||
| const Mat< eT > & | in | |||
| ) | [inline, static, inherited] |
principal component analysis -- 2 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients score_out -> projected samples
Definition at line 201 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< eT > & | coeff_out, | |
| Mat< eT > & | score_out, | |||
| Col< eT > & | latent_out, | |||
| const Mat< eT > & | in | |||
| ) | [inline, static, inherited] |
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
Definition at line 126 of file op_princomp_meat.hpp.
| bool op_princomp::direct_princomp | ( | Mat< eT > & | coeff_out, | |
| Mat< eT > & | score_out, | |||
| Col< eT > & | latent_out, | |||
| Col< eT > & | tsquared_out, | |||
| const Mat< eT > & | in | |||
| ) | [inline, static, inherited] |
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
Definition at line 32 of file op_princomp_meat.hpp.
