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LaplacianEigenmaps.h
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LaplacianEigenmaps.h
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/*
* This software is distributed under BSD 3-clause license (see LICENSE file).
*
* Authors: Sergey Lisitsyn, Heiko Strathmann, Soeren Sonnenburg,
* Evan Shelhamer
*/
#ifndef LAPLACIANEIGENMAPS_H_
#define LAPLACIANEIGENMAPS_H_
#include <shogun/lib/config.h>
#include <shogun/converter/EmbeddingConverter.h>
#include <shogun/features/Features.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CFeatures;
class CDistance;
/** @brief class LaplacianEigenmaps used to construct embeddings of
* data using Laplacian Eigenmaps algorithm as described in:
*
* Belkin, M., & Niyogi, P. (2002).
* Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering.
* Science, 14, 585-591. MIT Press.
* Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.19.9400&rep=rep1&type=pdf
*
* Uses implementation from the Tapkee library.
*
* To use this converter with static interfaces please refer it by
* sg('create_converter','laplacian_eigenmaps',k,width);
*
*/
class CLaplacianEigenmaps: public CEmbeddingConverter
{
public:
/** constructor */
CLaplacianEigenmaps();
/** destructor */
virtual ~CLaplacianEigenmaps();
/** apply to features
* @param features to embed
* @return embedded features
*/
virtual CFeatures* apply(CFeatures* features, bool inplace = true);
/** embed distance
* @param distance to use for embedding
*/
virtual CDenseFeatures<float64_t>* embed_distance(CDistance* distance);
/** setter for K parameter
* @param k k value
*/
void set_k(int32_t k);
/** getter for K parameter
* @return k value
*/
int32_t get_k() const;
/** setter for TAU parameter
* @param tau tau value
*/
void set_tau(float64_t tau);
/** getter for TAU parameter
* @return tau value
*/
float64_t get_tau() const;
/** get name */
virtual const char* get_name() const;
protected:
/** init */
void init();
protected:
/** number of neighbors */
int32_t m_k;
/** tau parameter of heat distribution */
float64_t m_tau;
};
}
#endif /* LAPLACIANEIGENMAPS_H_ */