diff options
Diffstat (limited to 'src/Subsampling/example/example_choose_n_farthest_points.cpp')
-rw-r--r-- | src/Subsampling/example/example_choose_n_farthest_points.cpp | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/src/Subsampling/example/example_choose_n_farthest_points.cpp b/src/Subsampling/example/example_choose_n_farthest_points.cpp new file mode 100644 index 00000000..9955d0ec --- /dev/null +++ b/src/Subsampling/example/example_choose_n_farthest_points.cpp @@ -0,0 +1,29 @@ +#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(std::array<FT,4>({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; +} |