nearest_neighbor_classifier.cpp
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00036 
00042 #include "ml_classifiers/nearest_neighbor_classifier.h"
00043 #include <pluginlib/class_list_macros.h>
00044 
00045 PLUGINLIB_DECLARE_CLASS(ml_classifiers, NearestNeighborClassifier, ml_classifiers::NearestNeighborClassifier, ml_classifiers::Classifier)
00046 
00047 using namespace std;
00048 
00049 namespace ml_classifiers{
00050 
00051     NearestNeighborClassifier::NearestNeighborClassifier(){}
00052     
00053     NearestNeighborClassifier::~NearestNeighborClassifier(){}
00054     
00055     void NearestNeighborClassifier::save(const std::string filename){}
00056     
00057     bool NearestNeighborClassifier::load(const std::string filename){return false;}
00058     
00059     void NearestNeighborClassifier::addTrainingPoint(string target_class, const std::vector<double> point)
00060     {
00061         class_data[target_class].push_back(point);
00062     }
00063     
00064     void NearestNeighborClassifier::train(){}
00065     
00066     void NearestNeighborClassifier::clear()
00067     {
00068         class_data.clear();
00069     }
00070     
00071     string NearestNeighborClassifier::classifyPoint(const std::vector<double> point)
00072     {
00073         size_t dims = point.size();
00074         double min_diff=0;
00075         string ans;
00076         bool first = true;
00077         
00078         for(ClassMap::iterator iter = class_data.begin(); iter != class_data.end(); iter++){
00079             string cname = iter->first;
00080             CPointList cpl = iter->second;
00081             
00082             for(size_t i=0; i<cpl.size(); i++){
00083                 double diff = 0;
00084                 for(size_t j=0; j<dims; j++){
00085                     diff += fabs(cpl[i][j] - point[j]);
00086                 }
00087                 if(first){
00088                     first = false;
00089                     min_diff = diff;
00090                     ans = cname;
00091                 }
00092                 else if(diff < min_diff){
00093                     min_diff = diff;
00094                     ans = cname;
00095                 }
00096             }
00097         }
00098         return ans;
00099     }
00100 
00101 }
00102 


ml_classifiers
Author(s): Scott Niekum
autogenerated on Thu Aug 27 2015 13:59:04