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-rw-r--r--src/Nerve_GIC/doc/Intro_graph_induced_complex.h29
1 files changed, 0 insertions, 29 deletions
diff --git a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h
index 7578cc53..344cb031 100644
--- a/src/Nerve_GIC/doc/Intro_graph_induced_complex.h
+++ b/src/Nerve_GIC/doc/Intro_graph_induced_complex.h
@@ -177,7 +177,6 @@ namespace cover_complex {
* \image html "funcGICvisu.jpg" "Visualization with neato"
*
* \copyright GNU General Public License v3.
- * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim
*/
/** @} */ // end defgroup cover_complex
@@ -186,31 +185,3 @@ namespace cover_complex {
} // namespace Gudhi
#endif // DOC_COVER_COMPLEX_INTRO_COVER_COMPLEX_H_
-
-
-/* * \subsection gicexample Example with cover from function
- *
- * This example builds the GIC of a point cloud sampled on a 3D human shape (human.off).
- * The cover C comes from the preimages of intervals (with length 0.075 and gain 0)
- * covering the height function (coordinate 2),
- * and the graph G comes from a Rips complex built with threshold 0.075.
- * Note that if the gain is too big, the number of cliques increases a lot,
- * which make the computation time much larger.
- *
- * \include Nerve_GIC/GIC.cpp
- *
- * When launching:
- *
- * \code $> ./GIC ../../data/points/human.off 0.075 2 0.075 0 --v
- * \endcode
- *
- * the program outputs SC.txt, which can be visualized with python and firefox as before:
- *
- * \image html "gicvisu.jpg" "Visualization with KeplerMapper"
- * */
-
-
-/* * Using e.g.
- *
- * \code $> python KeplerMapperVisuFromTxtFile.py && firefox SC.html
- * \endcode */