diff options
Diffstat (limited to 'src/Subsampling')
| -rw-r--r-- | src/Subsampling/include/gudhi/choose_n_farthest_points.h | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/src/Subsampling/include/gudhi/choose_n_farthest_points.h b/src/Subsampling/include/gudhi/choose_n_farthest_points.h index 1d2338cb..50d3cf80 100644 --- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h +++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h @@ -53,9 +53,8 @@ enum : std::size_t { * The iteration starts with the landmark `starting point` or, if `starting point==random_starting_point`, with a random landmark. * \tparam Kernel must provide a type Kernel::Squared_distance_d which is a model of the * concept <a target="_blank" - * href="http://doc.cgal.org/latest/Kernel_d/classKernel__d_1_1Squared__distance__d.html">Kernel_d::Squared_distance_d</a> - * concept. - * It must also contain a public member 'squared_distance_d_object' of this type. + * href="http://doc.cgal.org/latest/Kernel_d/classKernel__d_1_1Squared__distance__d.html">Kernel_d::Squared_distance_d</a> (despite the name, taken from CGAL, this can be any kind of metric or proximity measure). + * It must also contain a public member `squared_distance_d_object()` that returns an object of this type. * \tparam Point_range Range whose value type is Kernel::Point_d. It must provide random-access * via `operator[]` and the points should be stored contiguously in memory. * \tparam PointOutputIterator Output iterator whose value type is Kernel::Point_d. |