Xmipp
v3.23.11-Nereus
xmipp
libraries
dimred
probabilisticPCA.h
Go to the documentation of this file.
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/***************************************************************************
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*
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* Authors: Itziar Benito Ortega (2013)
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*
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* Unidad de Bioinformatica of Centro Nacional de Biotecnologia , CSIC
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
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* 02111-1307 USA
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*
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* All comments concerning this program package may be sent to the
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* e-mail address 'xmipp@cnb.csic.es'
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***************************************************************************/
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#ifndef _PROBABILISTIC_PCA
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#define _PROBABILISTIC_PCA
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#include "
core/matrix2d.h
"
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#include "
dimred_tools.h
"
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class
ProbabilisticPCA
:
public
DimRedAlgorithm
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{
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public
:
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size_t
Niters
;
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public
:
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Matrix2D<double>
A
;
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public
:
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void
setSpecificParameters
(
size_t
Niters=200);
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void
reduceDimensionality
();
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};
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#endif
ProbabilisticPCA::Niters
size_t Niters
Definition:
probabilisticPCA.h:38
DimRedAlgorithm
Definition:
dimred_tools.h:137
ProbabilisticPCA::setSpecificParameters
void setSpecificParameters(size_t Niters=200)
Set specific parameters.
Definition:
probabilisticPCA.cpp:30
dimred_tools.h
Matrix2D< double >
matrix2d.h
ProbabilisticPCA
Definition:
probabilisticPCA.h:35
ProbabilisticPCA::A
Matrix2D< double > A
Definition:
probabilisticPCA.h:40
ProbabilisticPCA::reduceDimensionality
void reduceDimensionality()
Reduce dimensionality.
Definition:
probabilisticPCA.cpp:35
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