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/*********************************************************************
MLDemos: A User-Friendly visualization toolkit for machine learning
Copyright (C) 2010 Basilio Noris
Contact: mldemos@b4silio.com
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public License,
version 3 as published by the Free Software Foundation.
This library 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.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free
Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*********************************************************************/
#ifndef _CLUSTERER_KKM_H_
#define _CLUSTERER_KKM_H_
#include <vector>
#include <clusterer.h>
#include "dlib/svm.h"
#include "dlib/rand.h"
#include "dlibTypes.h"
class ClustererKKM : public Clusterer
{
private:
int kernelType;
float kernelGamma;
float kernelDegree;
float kernelOffset;
int maxVectors;
int kernelTypeTrained;
void *decFunction;
public:
ClustererKKM() : decFunction(NULL), kernelType(2), kernelGamma(0.01), kernelDegree(2), maxVectors(8) {}
~ClustererKKM();
void Train(std::vector< fvec > samples);
template <int N> void KillDim();
template <int N> void TrainDim(std::vector< fvec > _samples);
template <int N> fvec TestDim(const fvec &sample);
template <int N> double TestScoreDim(const fvec &sample, int index);
template <int N> fvec TestUnnormalizedDim(const fvec &sample);
fvec Test( const fvec &sample);
double TestScore(const fvec &_sample, const int index);
fvec TestUnnormalized( const fvec &sample);
const char *GetInfoString();
void SetParams(int clusters, int kernelType, float kernelGamma, int kernelDegree, float kernelOffset)
{this->nbClusters=clusters;this->kernelType=kernelType;this->kernelGamma=kernelGamma;this->kernelDegree=kernelDegree; this->kernelOffset=kernelOffset;}
};
#endif // _CLUSTERER_KKM_H_
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