/usr/include/shogun/converter/LocalTangentSpaceAlignment.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 Berlin Institute of Technology and Max-Planck-Society
*/
#ifndef LOCALTANGENTSPACEALIGNMENT_H_
#define LOCALTANGENTSPACEALIGNMENT_H_
#include <shogun/lib/config.h>
#ifdef HAVE_LAPACK
#include <shogun/converter/LocallyLinearEmbedding.h>
#include <shogun/features/Features.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CFeatures;
class CDistance;
/** @brief LocalTangentSpaceAlignment used to embed
* data using Local Tangent Space Alignment (LTSA)
* algorithm as described in:
*
* Zhang, Z., & Zha, H. (2002). Principal Manifolds
* and Nonlinear Dimension Reduction via Local Tangent Space Alignment.
* Journal of Shanghai University English Edition, 8(4), 406-424. SIAM.
* Retrieved from http://arxiv.org/abs/cs/0212008
*
* Due to performance reasons on high-dimensional datasets please
* use KernelLocalTangentSpaceAlignment with linear kernel.
*
* The stated eigenproblem is solved in the same way as
* CLocallyLinearEmbedding (LAPACK or ARPACK if available).
*
* The local tangent space alignment step is parallel. Neighborhood
* determination is parallel as in CLocallyLinearEmbedding.
*
* This algorithm is pretty stable for variations of k parameter value but
* be sure it is set with a consistent value (at least 3-5) for reasonable
* results.
*
* Please do not use multithreading whether your LAPACK is not thread-safe.
*
*/
class CLocalTangentSpaceAlignment: public CLocallyLinearEmbedding
{
public:
/** constructor */
CLocalTangentSpaceAlignment();
/** destructor */
virtual ~CLocalTangentSpaceAlignment();
/** get name */
virtual const char* get_name() const;
/// HELPER
protected:
/** construct weight matrix
* @param simple_features features to be used
* @param W_matrix weight matrix
* @param neighborhood_matrix matrix containing neighbor idxs
*/
virtual SGMatrix<float64_t> construct_weight_matrix(CSimpleFeatures<float64_t>* simple_features,float64_t* W_matrix,
SGMatrix<int32_t> neighborhood_matrix);
/// THREAD
protected:
/** run ltsa thread
* @param p thread params
*/
static void* run_ltsa_thread(void* p);
};
}
#endif /* HAVE_LAPACK */
#endif /* LOCALTANGENTSPACEALINGMENT_H_ */
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