diff options
author | Gard Spreemann <gspreemann@gmail.com> | 2017-04-20 11:15:58 +0200 |
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committer | Gard Spreemann <gspreemann@gmail.com> | 2017-04-20 11:15:58 +0200 |
commit | eadd3e18b55fc3b7a7d0420015902df2d58dcea5 (patch) | |
tree | ce025060ea9045415b1f738886c8c70ed32218e8 /include/gudhi/graph_simplicial_complex.h | |
parent | 5638527781e1d8cd916cd28f9d375eef7b5d820b (diff) | |
parent | 8d7329f3e5ad843e553c3c5503cecc28ef2eead6 (diff) |
Merge tag 'upstream/2.0.0' into dfsg/latest
Upstream's 2.0.0 release.
Diffstat (limited to 'include/gudhi/graph_simplicial_complex.h')
-rw-r--r-- | include/gudhi/graph_simplicial_complex.h | 59 |
1 files changed, 1 insertions, 58 deletions
diff --git a/include/gudhi/graph_simplicial_complex.h b/include/gudhi/graph_simplicial_complex.h index 042ef516..5fe7c826 100644 --- a/include/gudhi/graph_simplicial_complex.h +++ b/include/gudhi/graph_simplicial_complex.h @@ -4,7 +4,7 @@ * * Author(s): Clément Maria * - * Copyright (C) 2014 INRIA Sophia Antipolis-Méditerranée (France) + * Copyright (C) 2014 INRIA * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by @@ -39,61 +39,4 @@ struct vertex_filtration_t { typedef boost::vertex_property_tag kind; }; -typedef int Vertex_handle; -typedef double Filtration_value; -typedef boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS -, boost::property < vertex_filtration_t, Filtration_value > -, boost::property < edge_filtration_t, Filtration_value > -> Graph_t; -typedef std::pair< Vertex_handle, Vertex_handle > Edge_t; - -/** \brief Output the proximity graph of the points. - * - * If points contains n elements, the proximity graph is the graph - * with n vertices, and an edge [u,v] iff the distance function between - * points u and v is smaller than threshold. - * - * The type PointCloud furnishes .begin() and .end() methods, that return - * iterators with value_type Point. - */ -template< typename PointCloud -, typename Point > -Graph_t compute_proximity_graph(PointCloud &points - , Filtration_value threshold - , Filtration_value distance(Point p1, Point p2)) { - std::vector< Edge_t > edges; - std::vector< Filtration_value > edges_fil; - std::map< Vertex_handle, Filtration_value > vertices; - - Vertex_handle idx_u, idx_v; - Filtration_value fil; - idx_u = 0; - for (auto it_u = points.begin(); it_u != points.end(); ++it_u) { - idx_v = idx_u + 1; - for (auto it_v = it_u + 1; it_v != points.end(); ++it_v, ++idx_v) { - fil = distance(*it_u, *it_v); - if (fil <= threshold) { - edges.emplace_back(idx_u, idx_v); - edges_fil.push_back(fil); - } - } - ++idx_u; - } - - Graph_t skel_graph(edges.begin() - , edges.end() - , edges_fil.begin() - , idx_u); // number of points labeled from 0 to idx_u-1 - - auto vertex_prop = boost::get(vertex_filtration_t(), skel_graph); - - boost::graph_traits<Graph_t>::vertex_iterator vi, vi_end; - for (std::tie(vi, vi_end) = boost::vertices(skel_graph); - vi != vi_end; ++vi) { - boost::put(vertex_prop, *vi, 0.); - } - - return skel_graph; -} - #endif // GRAPH_SIMPLICIAL_COMPLEX_H_ |