/usr/include/shogun/converter/NeighborhoodPreservingEmbedding.h is in libshogun-dev 1.1.0-4ubuntu2.
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* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2011 Sergey Lisitsyn
* Copyright (C) 2011 Sergey Lisitsyn
*/
#ifndef NEIGHBORHOODPRESERVINGEMBEDDING_H_
#define NEIGHBORHOODPRESERVINGEMBEDDING_H_
#include <shogun/lib/config.h>
#ifdef HAVE_LAPACK
#include <shogun/converter/LocallyLinearEmbedding.h>
#include <shogun/features/Features.h>
#include <shogun/features/SimpleFeatures.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CFeatures;
class CDistance;
/** @brief NeighborhoodPreservingEmbedding converter used to
* construct embeddings as described in:
*
* He, X., Cai, D., Yan, S., & Zhang, H.-J. (2005).
* Neighborhood preserving embedding.
* Tenth IEEE International Conference on Computer Vision ICCV05 Volume 1, 2, 1208-1213. Ieee.
* Retrieved from http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1544858
*
* This method is hardly applicable to very high-dimensional data due to
* necessity to solve eigenproblem involving matrix of size (dim x dim).
*
*/
class CNeighborhoodPreservingEmbedding: public CLocallyLinearEmbedding
{
public:
/** constructor */
CNeighborhoodPreservingEmbedding();
/** destructor */
virtual ~CNeighborhoodPreservingEmbedding();
/** get name */
virtual const char* get_name() const;
protected:
/** constructs embedding
* @param simple features to be used
* @param matrix weight matrix
* @param dimension dimension of embedding
* @return null-space approximation feature matrix
*/
virtual SGMatrix<float64_t> construct_embedding(CFeatures* features, SGMatrix<float64_t> matrix, int dimension);
};
}
#endif /* HAVE_LAPACK */
#endif /* NEIGHBORHOODPRESERVINGEMBEDDING_H_ */
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