MultiplexClustering.h

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// $Maintainer: Lars Nilse $
// $Authors: Lars Nilse $
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#ifndef OPENMS_TRANSFORMATIONS_FEATUREFINDER_MULTIPLEXCLUSTERING_H
#define OPENMS_TRANSFORMATIONS_FEATUREFINDER_MULTIPLEXCLUSTERING_H

#include <OpenMS/KERNEL/StandardTypes.h>
#include <OpenMS/CONCEPT/ProgressLogger.h>
#include <OpenMS/MATH/MISC/BSpline2d.h>
#include <OpenMS/TRANSFORMATIONS/RAW2PEAK/PeakPickerHiRes.h>
#include <OpenMS/TRANSFORMATIONS/FEATUREFINDER/MultiplexFilterResult.h>
#include <OpenMS/FILTERING/DATAREDUCTION/SplineSpectrum.h>
#include <OpenMS/TRANSFORMATIONS/FEATUREFINDER/MultiplexFiltering.h>
#include <OpenMS/COMPARISON/CLUSTERING/GridBasedCluster.h>

#include <vector>
#include <algorithm>
#include <iostream>

namespace OpenMS
{
    class OPENMS_DLLAPI MultiplexClustering :
        public ProgressLogger
    {        
        public:
        typedef GridBasedCluster::Point Point;    // DPosition<2>

        MultiplexClustering(const PeakMap& exp_profile, const PeakMap& exp_picked, const std::vector<std::vector<PeakPickerHiRes::PeakBoundary> >& boundaries, double rt_typical, double rt_minimum);
        
        MultiplexClustering(const PeakMap& exp, double mz_tolerance, bool mz_tolerance_unit, double rt_typical, double rt_minimum);
        
        std::vector<std::map<int,GridBasedCluster> > cluster(const std::vector<MultiplexFilterResult>& filter_results);
        
        class OPENMS_DLLAPI MultiplexDistance
        {
            public:
            MultiplexDistance(double rt_scaling);
       
            MultiplexDistance();
            
            double operator()(Point p1, Point p2);
     
            private:
            double rt_scaling_;
            
        };

        private:
        std::vector<double> grid_spacing_mz_;
        std::vector<double> grid_spacing_rt_;
                
        double rt_scaling_;
        
        double rt_typical_;
        
        double rt_minimum_;
        
   };
  
}

#endif /* MULTIPLEXCLUSTERING_H_ */