.TH "mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >" 3 "Tue Sep 9 2014" "Version 1.0.10" "MLPACK" \" -*- nroff -*-
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.SH NAME
mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy > \- 
.SH SYNOPSIS
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.PP
.SS "Public Member Functions"

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.RI "\fBNystroemMethod\fP (const arma::mat &\fBdata\fP, KernelType &\fBkernel\fP, const size_t \fBrank\fP)"
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.RI "\fICreate the \fBNystroemMethod\fP object\&. \fP"
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.RI "void \fBApply\fP (arma::mat &output)"
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.RI "\fIApply the low-rank factorization to obtain an output matrix G such that K' = G * G^T\&. \fP"
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.RI "void \fBGetKernelMatrix\fP (const arma::mat *\fBdata\fP, arma::mat &miniKernel, arma::mat &semiKernel)"
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.RI "\fIConstruct the kernel matrix with matrix that contains the selected points\&. \fP"
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.RI "void \fBGetKernelMatrix\fP (const arma::Col< size_t > &selectedPoints, arma::mat &miniKernel, arma::mat &semiKernel)"
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.RI "\fIConstruct the kernel matrix with the selected points\&. \fP"
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.SS "Private Attributes"

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.RI "const arma::mat & \fBdata\fP"
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.RI "\fIThe reference dataset\&. \fP"
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.RI "KernelType & \fBkernel\fP"
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.RI "\fIThe locally stored kernel, if it is necessary\&. \fP"
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.RI "const size_t \fBrank\fP"
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.RI "\fIRank used for matrix approximation\&. \fP"
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.SH "Detailed Description"
.PP 

.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>>class mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >"

.PP
Definition at line 38 of file nystroem_method\&.hpp\&.
.SH "Constructor & Destructor Documentation"
.PP 
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::\fBNystroemMethod\fP (const arma::mat &data, KernelType &kernel, const size_trank)"

.PP
Create the \fBNystroemMethod\fP object\&. The constructor here does not really do anything\&.
.PP
\fBParameters:\fP
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\fIdata\fP Data matrix\&. 
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\fIkernel\fP Kernel to be used for computation\&. 
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\fIrank\fP Rank to be used for matrix approximation\&. 
.RE
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.SH "Member Function Documentation"
.PP 
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::Apply (arma::mat &output)"

.PP
Apply the low-rank factorization to obtain an output matrix G such that K' = G * G^T\&. 
.PP
\fBParameters:\fP
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\fIoutput\fP Matrix to store kernel approximation into\&. 
.RE
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.PP
Referenced by mlpack::kpca::NystroemKernelRule< KernelType, PointSelectionPolicy >::ApplyKernelMatrix()\&.
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::GetKernelMatrix (const arma::mat *data, arma::mat &miniKernel, arma::mat &semiKernel)"

.PP
Construct the kernel matrix with matrix that contains the selected points\&. 
.PP
\fBParameters:\fP
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\fIdata\fP Data matrix pointer\&. 
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\fIminiKernel\fP to store the constructed mini-kernel matrix in\&. 
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\fIminiKernel\fP to store the constructed semi-kernel matrix in\&. 
.RE
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.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::GetKernelMatrix (const arma::Col< size_t > &selectedPoints, arma::mat &miniKernel, arma::mat &semiKernel)"

.PP
Construct the kernel matrix with the selected points\&. 
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\fBParameters:\fP
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\fIpoints\fP Indices of selected points\&. 
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\fIminiKernel\fP to store the constructed mini-kernel matrix in\&. 
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\fIminiKernel\fP to store the constructed semi-kernel matrix in\&. 
.RE
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.SH "Member Data Documentation"
.PP 
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> const arma::mat& \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::data\fC [private]\fP"

.PP
The reference dataset\&. 
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Definition at line 83 of file nystroem_method\&.hpp\&.
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> KernelType& \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::kernel\fC [private]\fP"

.PP
The locally stored kernel, if it is necessary\&. 
.PP
Definition at line 85 of file nystroem_method\&.hpp\&.
.SS "template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> const size_t \fBmlpack::kernel::NystroemMethod\fP< KernelType, PointSelectionPolicy >::rank\fC [private]\fP"

.PP
Rank used for matrix approximation\&. 
.PP
Definition at line 87 of file nystroem_method\&.hpp\&.

.SH "Author"
.PP 
Generated automatically by Doxygen for MLPACK from the source code\&.