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📄 evaluation.h

📁 C++蚂蚁实现/C++蚂蚁实现 C++蚂蚁实现
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/*  Ant-based Clustering    Copyright (C) 2004 Julia Handl    Email: Julia.Handl@gmx.de    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 2 of the License, or    (at your option) any later version.    This program 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 General Public License for more details.    You should have received a copy of the GNU General Public License    along with this program; if not, write to the Free Software    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA*/#ifndef EVALUATION_JH_2003#define EVALUATION_JH_2003#include "conf.h"#include "grid.h"#include "databin.h"#include "clustering.h"#include <iostream.h>class evaluation {        conf * par;    databin<USED_DATA_TYPE> * bin;    grid * env;    clustering * clust;    position<double> ** docindex;    public:    evaluation(conf * c);    ~evaluation();    void init(databin<USED_DATA_TYPE> * b, clustering * cl);    void init(databin<USED_DATA_TYPE> * b, grid * g, clustering * cl, position<double> ** docindex);     // evaluation functions used for the analysis    // of topographic embeddings    double square(double x);        double spatialdistance(position<int> * p1, position<int> * p2, int torus);    double spatialdistance(position<double> * p1, position<double> * p2, int torus);      double number();    double clusternumber();        double fmeasure(int b);    double randindex();    double randindex(clustering * c1, clustering * c2, int size);    double variance();    double dunn_av();    };#endif

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