/**

 * @clusterNums 默认为5 分类数目

 * @xyVector 处理后点云数据 x y顺序存储

 */

 int GMM::runGMM(int clusterNums, const std::vector<db::Point2f> & xyVector, std::vector<db::pointCuster> & xyCusterVector){

     int dim = ;

     datanums = xyVector.size();

     data = new double*[datanums];

     for (int i = , j = ; j < xyVector.size(); j++, i++)

     {

         data[i] = new double[dim];

         data[i][] = xyVector[j].x;

         data[i][] = xyVector[j].y;

     }

     GMM gmm;

     result = gmm.GMM_Cluster(data, datanums, dim, clusterNums);

     //multimap<int, pair<double, double>>cluster;

     vector<vector<int>>clusters;

     clusters.resize(clusterNums);

     for (int i = ; i < datanums; i++)

     {

         //cluster.insert(pair<int, pair<double, double>>

         //    (result[i], pair<double, double>(data[i][0], data[i][1])));

         clusters[result[i]].push_back(i);

         //cout << result[i] << endl;

     }

     for (int i = ; i < clusterNums; i++)

     {

         db::pointCuster tempCuster;

         xyCusterVector.push_back(tempCuster);

         for (int j = ; j < clusters[i].size(); j++)

         {

             db::Point2f tempPoint;

             xyCusterVector[i].push_back(tempPoint);

             xyCusterVector[i][j].x = data[clusters[i][j]][];

             xyCusterVector[i][j].y = data[clusters[i][j]][];

         }

     }

     return ;

 }