Subsampling/example_sparsify_point_set.cpp
#include <gudhi/sparsify_point_set.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::sparsify_point_set(k, points, 0.4, std::back_inserter(results));
std::cout << "Before sparsification: " << points.size() << " points.\n";
std::cout << "After sparsification: " << results.size() << " points.\n";
return 0;
}
GUDHI  Version 2.0.0  - C++ library for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. Generated on Wed Apr 19 2017 22:26:16 for GUDHI by doxygen 1.8.11