Hierarchical.h

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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) 2007-2009 Soeren Sonnenburg
 * Copyright (C) 2007-2009 Fraunhofer Institute FIRST and Max-Planck-Society
 */

#ifndef _HIERARCHICAL_H__
#define _HIERARCHICAL_H__

#include <stdio.h>
#include <shogun/lib/common.h>
#include <shogun/io/SGIO.h>
#include <shogun/distance/Distance.h>
#include <shogun/machine/DistanceMachine.h>

namespace shogun
{
class CDistanceMachine;

class CHierarchical : public CDistanceMachine
{
    public:
        CHierarchical();

        CHierarchical(int32_t merges, CDistance* d);
        virtual ~CHierarchical();

        virtual inline EClassifierType get_classifier_type() { return CT_HIERARCHICAL; }

        virtual bool load(FILE* srcfile);

        virtual bool save(FILE* dstfile);

        inline void set_merges(int32_t m)
        {
            ASSERT(m>0);
            merges=m;
        }

        inline int32_t get_merges()
        {
            return merges;
        }

        SGVector<int32_t> get_assignment()
        {
            return SGVector<int32_t>(assignment,table_size);
        }

        SGVector<float64_t> get_merge_distances()
        {
            return SGVector<float64_t>(merge_distance,merges);
        }

        SGMatrix<int32_t> get_cluster_pairs()
        {
            return SGMatrix<int32_t>(pairs,2,merges);
        }

        inline virtual const char* get_name() const { return "Hierarchical"; }

    protected:
        virtual bool train_machine(CFeatures* data=NULL);

        virtual void store_model_features();

        virtual CLabels* apply();

        virtual CLabels* apply(CFeatures* data);

        virtual float64_t apply(int32_t num);

    protected:
        int32_t merges;

        int32_t dimensions;

        int32_t assignment_size;

        int32_t* assignment;

        int32_t table_size;

        int32_t* pairs;

        float64_t* merge_distance;
};
}
#endif