diff options
Diffstat (limited to 'src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h')
| -rw-r--r-- | src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h b/src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h index 44bf9dbb..0b196f18 100644 --- a/src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h +++ b/src/Witness_complex/include/gudhi/Landmark_choice_by_furthest_point.h @@ -31,18 +31,22 @@ * \ingroup witness_complex */ -class Landmark_choice_by_random_point { +class Landmark_choice_by_furthest_point { +public: + /** * \brief Landmark choice strategy by iteratively adding the furthest witness from the - * current landmark set as the new landmark. It takes a random access range `points` and + * current landmark set as the new landmark. + * \details It chooses nbL landmarks from a random access range `points` and * writes {witness}*{closest landmarks} matrix in `knn`. */ template <typename KNearestNeighbours, typename Point_random_access_range> - Landmark_choice_by_furthest_points(Point_random_access_range &points, - KNearestNeighbours &knn) + Landmark_choice_by_furthest_point(Point_random_access_range &points, + int nbL, + KNearestNeighbours &knn) { int nb_points = points.end() - points.begin(); std::vector<std::vector<double>> wit_land_dist(nb_points, std::vector<double>()); // distance matrix witness x landmarks |