Mercurial > hg > segmenter-vamp-plugin
view armadillo-3.900.4/include/armadillo_bits/fn_princomp.hpp @ 49:1ec0e2823891
Switch to using subrepo copies of qm-dsp, nnls-chroma, vamp-plugin-sdk; update Armadillo version; assume build without external BLAS/LAPACK
author | Chris Cannam |
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date | Thu, 13 Jun 2013 10:25:24 +0100 |
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// Copyright (C) 2010-2012 NICTA (www.nicta.com.au) // Copyright (C) 2010-2012 Conrad Sanderson // Copyright (C) 2010 Dimitrios Bouzas // // This Source Code Form is subject to the terms of the Mozilla Public // License, v. 2.0. If a copy of the MPL was not distributed with this // file, You can obtain one at http://mozilla.org/MPL/2.0/. //! \addtogroup fn_princomp //! @{ //! \brief //! principal component analysis -- 4 arguments version //! coeff_out -> principal component coefficients //! score_out -> projected samples //! latent_out -> eigenvalues of principal vectors //! tsquared_out -> Hotelling's T^2 statistic template<typename T1> inline bool princomp ( Mat<typename T1::elem_type>& coeff_out, Mat<typename T1::elem_type>& score_out, Col<typename T1::pod_type>& latent_out, Col<typename T1::elem_type>& tsquared_out, const Base<typename T1::elem_type,T1>& X, const typename arma_blas_type_only<typename T1::elem_type>::result* junk = 0 ) { arma_extra_debug_sigprint(); arma_ignore(junk); const bool status = op_princomp::direct_princomp(coeff_out, score_out, latent_out, tsquared_out, X); if(status == false) { coeff_out.reset(); score_out.reset(); latent_out.reset(); tsquared_out.reset(); arma_bad("princomp(): failed to converge", false); } return status; } //! \brief //! principal component analysis -- 3 arguments version //! coeff_out -> principal component coefficients //! score_out -> projected samples //! latent_out -> eigenvalues of principal vectors template<typename T1> inline bool princomp ( Mat<typename T1::elem_type>& coeff_out, Mat<typename T1::elem_type>& score_out, Col<typename T1::pod_type>& latent_out, const Base<typename T1::elem_type,T1>& X, const typename arma_blas_type_only<typename T1::elem_type>::result* junk = 0 ) { arma_extra_debug_sigprint(); arma_ignore(junk); const bool status = op_princomp::direct_princomp(coeff_out, score_out, latent_out, X); if(status == false) { coeff_out.reset(); score_out.reset(); latent_out.reset(); arma_bad("princomp(): failed to converge", false); } return status; } //! \brief //! principal component analysis -- 2 arguments version //! coeff_out -> principal component coefficients //! score_out -> projected samples template<typename T1> inline bool princomp ( Mat<typename T1::elem_type>& coeff_out, Mat<typename T1::elem_type>& score_out, const Base<typename T1::elem_type,T1>& X, const typename arma_blas_type_only<typename T1::elem_type>::result* junk = 0 ) { arma_extra_debug_sigprint(); arma_ignore(junk); const bool status = op_princomp::direct_princomp(coeff_out, score_out, X); if(status == false) { coeff_out.reset(); score_out.reset(); arma_bad("princomp(): failed to converge", false); } return status; } //! \brief //! principal component analysis -- 1 argument version //! coeff_out -> principal component coefficients template<typename T1> inline bool princomp ( Mat<typename T1::elem_type>& coeff_out, const Base<typename T1::elem_type,T1>& X, const typename arma_blas_type_only<typename T1::elem_type>::result* junk = 0 ) { arma_extra_debug_sigprint(); arma_ignore(junk); const bool status = op_princomp::direct_princomp(coeff_out, X); if(status == false) { coeff_out.reset(); arma_bad("princomp(): failed to converge", false); } return status; } template<typename T1> inline const Op<T1, op_princomp> princomp ( const Base<typename T1::elem_type,T1>& X, const typename arma_blas_type_only<typename T1::elem_type>::result* junk = 0 ) { arma_extra_debug_sigprint(); arma_ignore(junk); return Op<T1, op_princomp>(X.get_ref()); } //! @}