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| template<typename T1 > |
| static void | op_princomp::apply (Mat< typename T1::elem_type > &out, const Op< T1, op_princomp > &in) |
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| 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 More...
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| 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 More...
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| 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 More...
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| 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 More...
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| 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 More...
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| 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 More...
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| 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 More...
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| 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 More...
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