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00001 #ifndef _CLUSTERIZINGHISTOGRAM_TT_H_ 00002 #define _CLUSTERIZINGHISTOGRAM_TT_H_ 00003 00004 #include <vector> 00005 #include <cmath> 00006 00013 class ClusterizingHistogram { 00014 public: 00015 ClusterizingHistogram(int nb, float xmi, float xma); 00016 ~ClusterizingHistogram(); 00017 00018 void fill( float x); 00019 int nbins() const {return my_nbins;} 00020 float min_x() const {return xmin;} 00021 float max_x() const {return xmax;} 00022 int entries() const {return my_entries;} 00023 int underflows() const {return my_underflows;} 00024 int overflows() const {return my_overflows;} 00025 float bin_pos(int i) const { 00026 return (bin_entries[i]!=0) ? bin_means[i]/bin_entries[i] : 0;} 00027 void dump() const; 00028 void dump(int i1, int i2) const; 00029 void dump(float x1, float x2) const; 00030 void dump(double x1, double x2) const; 00031 void dump(float x1, double x2) const; 00032 void dump(double x1, float x2) const; 00033 void reset(); 00034 int bin( float x) const; 00035 int bin( double x) const; 00036 00037 std::vector<float> clusterize( float resolution); 00038 00039 private: 00040 ClusterizingHistogram(){} // Prohibit 00041 int my_nbins; 00042 float xmin; 00043 float xmax; 00044 int my_entries; 00045 int my_underflows; 00046 int my_overflows; 00047 int *bin_entries; 00048 float *bin_means; 00049 float binsiz; 00050 }; 00051 00052 #endif
1.7.3