/usr/include/mlpack/methods/mvu/mvu.hpp is in libmlpack-dev 1.0.10-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | /**
* @file mvu.hpp
* @author Ryan Curtin
*
* An implementation of Maximum Variance Unfolding. This file defines an MVU
* class as well as a class representing the objective function (a semidefinite
* program) which MVU seeks to minimize. Minimization is performed by the
* Augmented Lagrangian optimizer (which in turn uses the L-BFGS optimizer).
*
* Note: this implementation of MVU does not work. See #189.
*
* 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/>.
*/
#ifndef __MLPACK_METHODS_MVU_MVU_HPP
#define __MLPACK_METHODS_MVU_MVU_HPP
#include <mlpack/core.hpp>
namespace mlpack {
namespace mvu {
/**
* The MVU class is meant to provide a good abstraction for users. The dataset
* needs to be provided, as well as several parameters.
*
* - dataset
* - new dimensionality
*/
class MVU
{
public:
MVU(const arma::mat& dataIn);
void Unfold(const size_t newDim,
const size_t numNeighbors,
arma::mat& outputCoordinates);
private:
const arma::mat& data;
};
}; // namespace mvu
}; // namespace mlpack
#endif
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