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Sameer Agarwalf06b9fa2013-10-27 21:38:13 -07001// Ceres Solver - A fast non-linear least squares minimizer
2// Copyright 2013 Google Inc. All rights reserved.
3// http://code.google.com/p/ceres-solver/
4//
5// Redistribution and use in source and binary forms, with or without
6// modification, are permitted provided that the following conditions are met:
7//
8// * Redistributions of source code must retain the above copyright notice,
9// this list of conditions and the following disclaimer.
10// * Redistributions in binary form must reproduce the above copyright notice,
11// this list of conditions and the following disclaimer in the documentation
12// and/or other materials provided with the distribution.
13// * Neither the name of Google Inc. nor the names of its contributors may be
14// used to endorse or promote products derived from this software without
15// specific prior written permission.
16//
17// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
18// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
19// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
20// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
21// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
22// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
23// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
24// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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26// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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28//
29// Author: sameeragarwal@google.com (Sameer Agarwal)
30
31#ifndef CERES_NO_SUITESPARSE
32
33#include "ceres/single_linkage_clustering.h"
34
35#include "ceres/graph.h"
36#include "ceres/collections_port.h"
37#include "ceres/graph_algorithms.h"
38
39namespace ceres {
40namespace internal {
41
42int ComputeSingleLinkageClustering(
43 const SingleLinkageClusteringOptions& options,
44 const Graph<int>& graph,
45 HashMap<int, int>* membership) {
46 CHECK_NOTNULL(membership)->clear();
47
48 // Initially each vertex is in its own cluster.
49 const HashSet<int>& vertices = graph.vertices();
50 for (HashSet<int>::const_iterator it = vertices.begin();
51 it != vertices.end();
52 ++it) {
53 (*membership)[*it] = *it;
54 }
55
56 for (HashSet<int>::const_iterator it1 = vertices.begin();
57 it1 != vertices.end();
58 ++it1) {
59 const int vertex1 = *it1;
60 const HashSet<int>& neighbors = graph.Neighbors(vertex1);
61 for (HashSet<int>::const_iterator it2 = neighbors.begin();
62 it2 != neighbors.end();
63 ++it2) {
64 const int vertex2 = *it2;
65
66 // Since the graph is undirected, only pay attention to one side
67 // of the edge and ignore weak edges.
68 if ((vertex1 > vertex2) ||
69 (graph.EdgeWeight(vertex1, vertex2) < options.min_similarity)) {
70 continue;
71 }
72
73 // Use a union-find algorithm to keep track of the clusters.
74 const int c1 = FindConnectedComponent(vertex1, membership);
75 const int c2 = FindConnectedComponent(vertex2, membership);
76
77 if (c1 == c2) {
78 continue;
79 }
80
81 if (c1 < c2) {
82 (*membership)[c2] = c1;
83 } else {
84 (*membership)[c1] = c2;
85 }
86 }
87 }
88
89 // Make sure that every vertex is connected directly to the vertex
90 // identifying the cluster.
91 int num_clusters = 0;
92 for (HashMap<int, int>::iterator it = membership->begin();
93 it != membership->end();
94 ++it) {
95 it->second = FindConnectedComponent(it->first, membership);
96 if (it->first == it->second) {
97 ++num_clusters;
98 }
99 }
100
101 return num_clusters;
102}
103
104} // namespace internal
105} // namespace ceres
106
107#endif // CERES_NO_SUITESPARSE