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/**
*
* This file is part of Tulip (www.tulip-software.org)
*
* Authors: David Auber and the Tulip development Team
* from LaBRI, University of Bordeaux
*
* Tulip is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* Tulip 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.
*
*/
#ifndef _ConvolutionClustering_H
#define _ConvolutionClustering_H
#include <vector>
#include <tulip/TulipPluginHeaders.h>
/** This plugin allow the discretization and the filtering of the distribution of
* a node metric using convolution.
*
* A detailled usage of this procedure is detailled in :
*
* D. Auber, M. Delest and Y. Chiricota \n
* "Strahler based graph clustering using convolution",\n
* Published by the IEEE Computer Society, \n
* 2004.
*
*/
namespace tlp {
class ConvolutionClustering:public tlp::DoubleAlgorithm {
public:
PLUGININFORMATION("Convolution","David Auber","14/08/2001","Discretization and filtering of the distribution of a node metric using a convolution.","2.1","Clustering")
ConvolutionClustering(tlp::PluginContext* context);
bool run();
bool check(std::string&);
std::vector<double> *getHistogram();
void setParameters(int histosize,int threshold,int width);
void getParameters(int &histosize,int &threshold,int &width);
void autoSetParameter();
std::list<int> getLocalMinimum();
private:
void getClusters(const std::vector<int>& ranges);
std::vector<double> smoothHistogram;
std::map<int,int> histogramOfValues;
int histosize,threshold,width;
tlp::NumericProperty *metric;
};
}
#endif
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