diff options
Diffstat (limited to 'src/Subsampling/include/gudhi/choose_n_farthest_points.h')
| -rw-r--r-- | src/Subsampling/include/gudhi/choose_n_farthest_points.h | 6 |
1 files changed, 3 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 02376c03..1d2338cb 100644 --- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h +++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h @@ -43,14 +43,14 @@ enum : std::size_t { /** * Argument for `choose_n_farthest_points` to indicate that the starting point should be picked randomly. */ - random_first_landmark = std::size_t(-1) + random_starting_point = std::size_t(-1) }; /** * \ingroup subsampling * \brief Subsample by a greedy strategy of iteratively adding the farthest point from the * current chosen point set to the subsampling. - * The iteration starts with the landmark `starting point` or, if `starting point==random_first_landmark`, with a random landmark. + * 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> @@ -90,7 +90,7 @@ void choose_n_farthest_points(Kernel const &k, if (final_size < 1) return; - if (starting_point == random_first_landmark) { + if (starting_point == random_starting_point) { // Choose randomly the first landmark std::random_device rd; std::mt19937 gen(rd()); |