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authormcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-05-12 15:37:55 +0000
committermcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-05-12 15:37:55 +0000
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</td>
</tr>
</table>
+ \subsection GICDataStructure Nerves and Graph Induced Complexes
+ \image html "gic_complex.png" "Graph Induced Complex of a point cloud."
+<table border="0">
+ <tr>
+ <td width="25%">
+ <b>Author:</b> Mathieu Carri&egrave;re<br>
+ <b>Introduced in:</b> GUDHI 2.0.1<br>
+ <b>Copyright:</b> GPL v3<br>
+ </td>
+ <td width="75%">
+ Nerves and Graph Induced Complexes are simplicial complexes that provably contain
+ topological information about the input data. They can be computed with a cover of the
+ data, that often comes from the preimage of a family of intervals covering the image
+ of a scalar-valued function defined on the data. <br>
+ <b>User manual:</b> \ref graph_induced_complex - <b>Reference manual:</b> Gudhi::graph_induced_complex::Graph_induced_complex
+ </td>
+ </tr>
+</table>
\subsection SkeletonBlockerDataStructure Skeleton blocker
\image html "ds_representation.png" "Skeleton blocker representation"
<table border="0">