NAME¶

mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy > -

SYNOPSIS¶

Public Member Functions¶

NystroemMethod (const arma::mat &data, KernelType &kernel, const size_t rank) Create the NystroemMethod object. void Apply (arma::mat &output) Apply the low-rank factorization to obtain an output matrix G such that K' = G * G^T. void GetKernelMatrix (const arma::mat *data, arma::mat &miniKernel, arma::mat &semiKernel) Construct the kernel matrix with matrix that contains the selected points. void GetKernelMatrix (const arma::Col< size_t > &selectedPoints, arma::mat &miniKernel, arma::mat &semiKernel) Construct the kernel matrix with the selected points.

Private Attributes¶

const arma::mat & data The reference dataset. KernelType & kernel The locally stored kernel, if it is necessary. const size_t rank Rank used for matrix approximation.

Detailed Description¶

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>>class mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >¶

Definition at line 38 of file nystroem_method.hpp.

Constructor & Destructor Documentation¶

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >:: NystroemMethod (const arma::mat &data, KernelType &kernel, const size_trank)¶

Create the NystroemMethod object. The constructor here does not really do anything. Parameters:

Member Function Documentation¶

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::Apply (arma::mat &output)¶

Apply the low-rank factorization to obtain an output matrix G such that K' = G * G^T. Parameters: Referenced by mlpack::kpca::NystroemKernelRule< KernelType, PointSelectionPolicy >::ApplyKernelMatrix().

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::GetKernelMatrix (const arma::mat *data, arma::mat &miniKernel, arma::mat &semiKernel)¶

Construct the kernel matrix with matrix that contains the selected points. Parameters:

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> void mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::GetKernelMatrix (const arma::Col< size_t > &selectedPoints, arma::mat &miniKernel, arma::mat &semiKernel)¶

Construct the kernel matrix with the selected points. Parameters:

Member Data Documentation¶

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> const arma::mat& mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::data [private]¶

The reference dataset. Definition at line 83 of file nystroem_method.hpp.

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> KernelType& mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::kernel [private]¶

The locally stored kernel, if it is necessary. Definition at line 85 of file nystroem_method.hpp.

template<typename KernelType, typename PointSelectionPolicy = KMeansSelection<>> const size_t mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy >::rank [private]¶

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

Author¶

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