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example_sparsify_point_set.cpp
#include <gudhi/sparsify_point_set.h>
#include <CGAL/Epick_d.h>
#include <CGAL/Random.h>
#include <iostream>
#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::sparsify_point_set(k, points, 0.4, std::back_inserter(results));
std::clog << "Before sparsification: " << points.size() << " points.\n";
std::clog << "After sparsification: " << results.size() << " points.\n";
return 0;
}
Gudhi::subsampling::sparsify_point_set
void sparsify_point_set(const Kernel &k, Point_range const &input_pts, typename Kernel::FT min_squared_dist, OutputIterator output_it)
Outputs a subset of the input points so that the squared distance between any two points is greater t...
Definition sparsify_point_set.h:50