void MimRec::calcForTrainingData(const cv::Mat& trackingPoints, const std::string& outputFilePath, const cv::Mat fittingImage)
{
currentPoints = trackingPoints;
areaFace();
calc_distance();
normalizeDistances();
calcIntensityScoring(outputFilePath, fittingImage);
}
void EFILE::hierarchicalClustering()
{
int _i,_j;
if(nsolutions>nclusters+1){
hasclusteredfirsttime=true;
updatematrix=false;
normalizeDistances();
createProximityMatrix();
while(pmsize>nclusters){
findLowestValue(&_i,&_j);
copy2Column(_i);
copy2Column(_j);
joinColumns(_i,_j);
copy2Row(_i);
deleteColumn(_j);
deleteRow(_j);
pmsize--;
}
for(_i=0;_i<nclusters;_i++){
for(_j=0;proximitymatrixindex[_i][_j]!=-1;_j++);
/*
{
for(int _k=0;_k<ndimensions;_k++){
gbests4swarm[_i][_j].x[_k]=solutions[proximitymatrixindex[_i][_j]].x[_k];
}
for(int _k=0;_k<nobjectives;_k++){
gbests4swarm[_i][_j].fx[_k]=solutions[proximitymatrixindex[_i][_j]].fx[_k];
}
}*/
nsolutionsbyswarm[_i]=_j;
}
}
}
