/*********************************************************************
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();
    ClustererKM(const ClustererKM& other) : beta(other.beta), bSoft(other.bSoft), bGmm(other.bGmm),
        power(other.power), kmeansPlusPlus(other.kmeansPlusPlus)
    {
        if(other.kmeans)
            kmeans = new KMeansCluster(*other.kmeans);
    }
    virtual ClustererKM* clone() const { return new ClustererKM(*this);}
	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_
