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HessianLocallyLinearEmbedding.h
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HessianLocallyLinearEmbedding.h
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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 Berlin Institute of Technology and Max-Planck-Society
*/
#ifndef HESSIANLOCALLYLINEAREMBEDDING_H_
#define HESSIANLOCALLYLINEAREMBEDDING_H_
#ifdef HAVE_LAPACK
#include <shogun/preprocessor/LocallyLinearEmbedding.h>
#include <shogun/features/Features.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CFeatures;
class CDistance;
/** @brief the class HessianLocallyLinearEmbedding used to preprocess
* data using Hessian Locally Linear Embedding algorithm described in
*
* Donoho, D., & Grimes, C. (2003).
* Hessian eigenmaps: new tools for nonlinear dimensionality reduction.
* Proceedings of National Academy of Science (Vol. 100, pp. 5591-5596).
*
* Stated eigenproblem is solved in the same way as in
* CLocallyLinearEmbedding (LAPACK or ARPACK if available).
*
* Hessian estimation step is parallel and neighborhood determination
* is not as in CLocallyLinearEmbedding.
*
* Be sure k value is set with at least
* 1+[target dim]+1/2 [target_dim]*[1 + target dim], e.g.
* greater than 6 for target dimensionality of 2.
*/
class CHessianLocallyLinearEmbedding: public CLocallyLinearEmbedding
{
public:
/** constructor */
CHessianLocallyLinearEmbedding();
/** destructor */
virtual ~CHessianLocallyLinearEmbedding();
/** init
* @param data feature vectors for preproc
*/
virtual bool init(CFeatures* features);
/** cleanup
*
*/
virtual void cleanup();
/** apply preproc to feature matrix
*
*/
virtual SGMatrix<float64_t> apply_to_feature_matrix(CFeatures* features);
/** apply preproc to feature vector
*
*/
virtual SGVector<float64_t> apply_to_feature_vector(SGVector<float64_t> vector);
/** get name */
virtual inline const char* get_name() const { return "HessianLocallyLinearEmbedding"; };
/** get type */
virtual inline EPreprocessorType get_type() const { return P_HESSIANLOCALLYLINEAREMBEDDING; };
protected:
/** run hessian estimation thread
* @param p thread params
*/
static void* run_hessianestimation_thread(void* p);
};
}
#endif /* HAVE_LAPACK */
#endif /* HESSIANLOCALLYLINEAREMBEDDING_H_ */