kernel_pca.hpp (3)

Src/mlpack/methods/kernel_pca/kernel_pca.hpp -

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  4. kernel_pca.hpp: Src/mlpack/methods/kernel_pca/kernel_pca.hpp -
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  4. kernel_pca.hpp: Src/mlpack/methods/kernel_pca/kernel_pca.hpp -

SYNOPSIS

Classes

class mlpack::kpca::KernelPCA< KernelType, KernelRule >

This class performs kernel principal components analysis (Kernel PCA), for a given kernel.

Namespaces

mlpack

Linear algebra utility functions, generally performed on matrices or vectors. mlpack::kpca

Detailed Description

Author:

Ajinkya Kale

Marcus Edel

Defines the KernelPCA class to perform Kernel Principal Components Analysis on the specified data set.

This file is part of MLPACK 1.0.10.

MLPACK is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with MLPACK. If not, see http://www.gnu.org/licenses/.

Definition in file kernel_pca.hpp.

Author

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