#include <op_princomp_cov_proto.hpp>
Static Public Member Functions | |
template<typename eT > | |
static void | direct_princomp_cov (Mat< eT > &coeff_out, const Mat< eT > &in) |
principal component analysis of a covariance matrix -- 1 argument version computation is done via singular value decomposition coeff_out -> principal component coefficients | |
template<typename eT > | |
static void | direct_princomp_cov (Mat< eT > &coeff_out, Col< eT > &latent_out, const Mat< eT > &in) |
principal component analysis of a covariance matrix -- 2 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients latent_out -> principal component variances | |
template<typename eT > | |
static void | direct_princomp_cov (Mat< eT > &coeff_out, Col< eT > &latent_out, Col< eT > &explained_out, const Mat< eT > &in) |
principal component analysis of a covariance matrix -- 3 arguments version computation is done via singular value decomposition coeff_out -> principal component coefficients latent_out -> principal component variances explained_out -> percentage of the total variance explained by each principal component | |
template<typename T > | |
static void | direct_princomp_cov (Mat< std::complex< T > > &coeff_out, const Mat< std::complex< T > > &in) |
principal component analysis of a covariance matrix -- 1 argument complex version computation is done via singular value decomposition coeff_out -> principal component coefficients | |
template<typename T > | |
static void | direct_princomp_cov (Mat< std::complex< T > > &coeff_out, Col< T > &latent_out, const Mat< std::complex< T > > &in) |
principal component analysis of a covariance matrix -- 2 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients latent_out -> principal component variances | |
template<typename T > | |
static void | direct_princomp_cov (Mat< std::complex< T > > &coeff_out, Col< T > &latent_out, Col< T > &explained_out, const Mat< std::complex< T > > &in) |
principal component analysis of a covariance matrix -- 3 arguments complex version computation is done via singular value decomposition coeff_out -> principal component coefficients latent_out -> principal component variances explained_out -> percentage of the total variance explained by each principal component | |
template<typename T1 > | |
static void | apply (Mat< typename T1::elem_type > &out, const Op< T1, op_princomp_cov > &in) |
Definition at line 23 of file op_princomp_cov_proto.hpp.