Classes | Functions
Op_princomp

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 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
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

Function Documentation

template<typename T1 >
void op_princomp::apply ( Mat< typename T1::elem_type > &  out,
const Op< T1, op_princomp > &  in 
) [inline, static]

Definition at line 580 of file op_princomp_meat.hpp.

template<typename eT >
bool op_princomp::direct_princomp ( Mat< eT > &  coeff_out,
const Mat< eT > &  in 
) [inline, static]

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.

template<typename eT >
bool op_princomp::direct_princomp ( Mat< eT > &  coeff_out,
Mat< eT > &  score_out,
const Mat< eT > &  in 
) [inline, static]

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.

template<typename eT >
bool op_princomp::direct_princomp ( Mat< eT > &  coeff_out,
Mat< eT > &  score_out,
Col< eT > &  latent_out,
const Mat< eT > &  in 
) [inline, static]

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.

template<typename eT >
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]

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.

template<typename T >
bool op_princomp::direct_princomp ( Mat< std::complex< T > > &  coeff_out,
const Mat< std::complex< T > > &  in 
) [inline, static]

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.

template<typename T >
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]

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.

template<typename T >
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]

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.

template<typename T >
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]

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.



armadillo_matrix
Author(s): Conrad Sanderson - NICTA (www.nicta.com.au), (Wrapper by Sjoerd van den Dries)
autogenerated on Tue Jan 7 2014 11:42:07