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authorglisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-07-20 15:03:46 +0000
committerglisse <glisse@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-07-20 15:03:46 +0000
commitf5c97bc9fd1c247045d35ddf261f9afe4d024406 (patch)
treea4de1cf4a030ced6f4a95fc3847a3fe582168b1f /src/Rips_complex
parent5bd32fe1ffae29a7e30e634a2a1fe707805ab820 (diff)
First try at interfacing the sparse rips in python. Needs at least documentation and tests.
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/sparserips-python@3697 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 75bef59e90355853ee24807ca7453c4bb0a38f43
Diffstat (limited to 'src/Rips_complex')
-rw-r--r--src/Rips_complex/doc/Intro_rips_complex.h5
1 files changed, 4 insertions, 1 deletions
diff --git a/src/Rips_complex/doc/Intro_rips_complex.h b/src/Rips_complex/doc/Intro_rips_complex.h
index 712d3b6e..3db5287e 100644
--- a/src/Rips_complex/doc/Intro_rips_complex.h
+++ b/src/Rips_complex/doc/Intro_rips_complex.h
@@ -53,7 +53,10 @@ namespace rips_complex {
* The number of simplices in the full Rips complex is exponential in the
* number of vertices, it is thus usually restricted, by excluding all the
* simplices with filtration value larger than some threshold, and keeping only
- * the dim_max-skeleton.
+ * the dim_max-skeleton. It may also be a good idea to start by making the
+ * point set sparser, for instance with
+ * `Gudhi::subsampling::sparsify_point_set`, since small clusters of points
+ * have a disproportionate cost without affecting the persistence diagram much.
*
* In order to build this complex, the algorithm first builds the graph.
* The filtration value of each edge is computed from a user-given distance