src/Subsampling/example/example_choose_n_farthest_points.cpp


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#include <gudhi/choose_n_farthest_points.h>

#include <CGAL/Epick_d.h>
#include <CGAL/Random.h>

#include <array>
#include <vector>
#include <iterator>

int main (void)
{
  typedef CGAL::Epick_d<CGAL::Dimension_tag<4> >   K;
  typedef typename K::FT                           FT;
  typedef typename K::Point_d                      Point_d;
  
  CGAL::Random rd;

  std::vector<Point_d> points;
  for (int i = 0 ; i < 500 ; ++i)
    points.push_back(Point_d(rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1)));

  K k;
  std::vector<Point_d> results;
  Gudhi::subsampling::choose_n_farthest_points(k, points, 100, std::back_inserter(results));
  std::cout << "Before sparsification: " << points.size() << " points.\n";
  std::cout << "After  sparsification: " << results.size() << " points.\n";

  return 0;
}