Spatial_searching/general_neighbor_searching.cpp

#include <CGAL/Epick_d.h>
#include <CGAL/point_generators_d.h>
#include <CGAL/Manhattan_distance_iso_box_point.h>
#include <CGAL/K_neighbor_search.h>
#include <CGAL/Search_traits_d.h>

typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > Kernel;
typedef Kernel::Point_d Point_d;
typedef CGAL::Random_points_in_cube_d<Point_d> Random_points_iterator;
typedef Kernel::Iso_box_d Iso_box_d;
typedef Kernel TreeTraits;
typedef CGAL::Manhattan_distance_iso_box_point<TreeTraits> Distance;
typedef CGAL::K_neighbor_search<TreeTraits, Distance> Neighbor_search;
typedef Neighbor_search::Tree Tree;

int  main() {
  const int N = 1000;
  const unsigned int K = 10;

  Tree tree;
  Random_points_iterator rpit(4,1000.0);
  for(int i = 0; i < N; i++){
    tree.insert(*rpit++);
  }
  Point_d pp(0.1,0.1,0.1,0.1);
  Point_d qq(0.2,0.2,0.2,0.2);
  Iso_box_d query(pp,qq);

  Distance tr_dist;
  Neighbor_search N1(tree, query, 5, 10.0, false); // eps=10.0, nearest=false

  std::cout << "For query rectangle = [0.1, 0.2]^4 " << std::endl
        <<  "the " << K << " approximate furthest neighbors are: " << std::endl;
  for (Neighbor_search::iterator it = N1.begin();it != N1.end();it++) {
    std::cout << " Point " << it->first << " at distance  " << tr_dist.inverse_of_transformed_distance(it->second) << std::endl;
  }
  return 0;
}