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-rw-r--r--example/Subsampling/example_choose_n_farthest_points.cpp29
1 files changed, 29 insertions, 0 deletions
diff --git a/example/Subsampling/example_choose_n_farthest_points.cpp b/example/Subsampling/example_choose_n_farthest_points.cpp
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+++ b/example/Subsampling/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 <vector>
+#include <iterator>
+
+int main(void) {
+ typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > K;
+ 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,
+ Gudhi::subsampling::random_starting_point,
+ std::back_inserter(results));
+ std::cout << "Before sparsification: " << points.size() << " points.\n";
+ std::cout << "After sparsification: " << results.size() << " points.\n";
+
+ return 0;
+}