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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_KM_H_
#define _CLUSTERER_KM_H_
#include <vector>
#include "clusterer.h"
#include "kmeans.h"
class ClustererKM : public Clusterer
{
private:
float beta;
bool bSoft;
bool bGmm;
int power;
bool kmeansPlusPlus;
public:
KMeansCluster *kmeans;
ClustererKM() : beta(1), bSoft(false), bGmm(false), kmeans(0), kmeansPlusPlus(true) {}
~ClustererKM();
void Train(std::vector< fvec > samples);
fvec Test( const fvec &sample);
fvec Test( const fVec &sample);
const char *GetInfoString();
void SetParams(u32 nbClusters, int method, float beta, int power, bool kmeansPlusPlus);
};
#endif // _CLUSTERER_KM_H_
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