mlpack::kpca::NystroemKernelRule< KernelType, PointSelectionPolicy > Class Template Reference

Static Public Member Functions
static void	ApplyKernelMatrix (const arma::mat &data, arma::mat &transformedData, arma::vec &eigval, arma::mat &eigvec, const size_t rank, KernelType kernel=KernelType())
	Construct the kernel matrix approximation using the nystroem method. More...

Detailed Description

template<typename KernelType, typename PointSelectionPolicy = kernel::KMeansSelection<>>
class mlpack::kpca::NystroemKernelRule< KernelType, PointSelectionPolicy >

Definition at line 27 of file nystroem_method.hpp.

Member Function Documentation

template<typename KernelType , typename PointSelectionPolicy = kernel::KMeansSelection<>>

static void mlpack::kpca::NystroemKernelRule< KernelType, PointSelectionPolicy >::ApplyKernelMatrix ( const arma::mat &  data, arma::mat &  transformedData, arma::vec &  eigval, arma::mat &  eigvec, const size_t  rank, KernelType  kernel = KernelType()  )

inlinestatic

Construct the kernel matrix approximation using the nystroem method.

Parameters

data	Input data points.
transformedData	Matrix to output results into.
eigval	KPCA eigenvalues will be written to this vector.
eigvec	KPCA eigenvectors will be written to this matrix.
rank	Rank to be used for matrix approximation.
kernel	Kernel to be used for computation.

Definition at line 40 of file nystroem_method.hpp.

References mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::Apply(), and mlpack::math::Center().

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

• src/mlpack/methods/kernel_pca/kernel_rules/nystroem_method.hpp