The rest of changes

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/witness@1031 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: af29326bd4293697211c20001fc120108a38b3f4

2 files changed, 9 insertions, 2 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 2491b319..472cc0f7 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
@@ -39,6 +39,11 @@ namespace witness_complex {
    *  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`.
+   *
+   *  The type KNearestNeighbors can be seen as 
+   *  Witness_range<Closest_landmark_range<Vertex_handle>>, where
+   *  Witness_range and Closest_landmark_range are random access ranges 
+   *  
    */
 
   template <typename KNearestNeighbours,
@@ -82,7 +87,7 @@ namespace witness_complex {
           curr_max_w = i;
         }
     }
-    for (unsigned i = 0; i < points.size(); ++i)
+    for (unsigned i = 0; i < nb_points; ++i)
       std::sort(knn[i].begin(),
                 knn[i].end(),
                 [&wit_land_dist, i](int a, int b) {
diff --git a/src/Witness_complex/include/gudhi/Landmark_choice_by_random_point.h b/src/Witness_complex/include/gudhi/Landmark_choice_by_random_point.h
index 617c0258..7da74066 100644
--- a/src/Witness_complex/include/gudhi/Landmark_choice_by_random_point.h
+++ b/src/Witness_complex/include/gudhi/Landmark_choice_by_random_point.h
@@ -32,7 +32,9 @@ namespace Gudhi {
 
 namespace witness_complex {
 
-  /** \brief Landmark choice strategy by taking random vertices for landmarks.
+  /**
+   *  \ingroup witness_complex
+   * \brief Landmark choice strategy by taking random vertices for landmarks.
    *  \details It chooses nbL distinct landmarks from a random access range `points`
    *  and outputs a matrix {witness}*{closest landmarks} in knn.
    *