op_princomp Class Reference
[Op_princomp]

#include <op_princomp_bones.hpp>

List of all members.

Static Public Member Functions
template<typename T1 >
static void	apply (Mat< typename T1::elem_type > &out, const Op< T1, op_princomp > &in)
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
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
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
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
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
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
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
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

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Detailed Description

Definition at line 20 of file op_princomp_bones.hpp.

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The documentation for this class was generated from the following files:

• op_princomp_bones.hpp
• op_princomp_meat.hpp