|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2013 Google Inc. All rights reserved. | 
|  | // http://code.google.com/p/ceres-solver/ | 
|  | // | 
|  | // Redistribution and use in source and binary forms, with or without | 
|  | // modification, are permitted provided that the following conditions are met: | 
|  | // | 
|  | // * Redistributions of source code must retain the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer. | 
|  | // * Redistributions in binary form must reproduce the above copyright notice, | 
|  | //   this list of conditions and the following disclaimer in the documentation | 
|  | //   and/or other materials provided with the distribution. | 
|  | // * Neither the name of Google Inc. nor the names of its contributors may be | 
|  | //   used to endorse or promote products derived from this software without | 
|  | //   specific prior written permission. | 
|  | // | 
|  | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | 
|  | // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | 
|  | // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | 
|  | // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE | 
|  | // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR | 
|  | // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF | 
|  | // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS | 
|  | // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN | 
|  | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) | 
|  | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE | 
|  | // POSSIBILITY OF SUCH DAMAGE. | 
|  | // | 
|  | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
|  |  | 
|  | #ifndef CERES_NO_SUITESPARSE | 
|  |  | 
|  | #include "ceres/single_linkage_clustering.h" | 
|  |  | 
|  | #include "ceres/graph.h" | 
|  | #include "ceres/collections_port.h" | 
|  | #include "ceres/graph_algorithms.h" | 
|  |  | 
|  | namespace ceres { | 
|  | namespace internal { | 
|  |  | 
|  | int ComputeSingleLinkageClustering( | 
|  | const SingleLinkageClusteringOptions& options, | 
|  | const Graph<int>& graph, | 
|  | HashMap<int, int>* membership) { | 
|  | CHECK_NOTNULL(membership)->clear(); | 
|  |  | 
|  | // Initially each vertex is in its own cluster. | 
|  | const HashSet<int>& vertices = graph.vertices(); | 
|  | for (HashSet<int>::const_iterator it = vertices.begin(); | 
|  | it != vertices.end(); | 
|  | ++it) { | 
|  | (*membership)[*it] = *it; | 
|  | } | 
|  |  | 
|  | for (HashSet<int>::const_iterator it1 = vertices.begin(); | 
|  | it1 != vertices.end(); | 
|  | ++it1) { | 
|  | const int vertex1 = *it1; | 
|  | const HashSet<int>& neighbors = graph.Neighbors(vertex1); | 
|  | for (HashSet<int>::const_iterator it2 = neighbors.begin(); | 
|  | it2 != neighbors.end(); | 
|  | ++it2) { | 
|  | const int vertex2 = *it2; | 
|  |  | 
|  | // Since the graph is undirected, only pay attention to one side | 
|  | // of the edge and ignore weak edges. | 
|  | if ((vertex1 > vertex2) || | 
|  | (graph.EdgeWeight(vertex1, vertex2) < options.min_similarity)) { | 
|  | continue; | 
|  | } | 
|  |  | 
|  | // Use a union-find algorithm to keep track of the clusters. | 
|  | const int c1 = FindConnectedComponent(vertex1, membership); | 
|  | const int c2 = FindConnectedComponent(vertex2, membership); | 
|  |  | 
|  | if (c1 == c2) { | 
|  | continue; | 
|  | } | 
|  |  | 
|  | if (c1 < c2) { | 
|  | (*membership)[c2] = c1; | 
|  | } else { | 
|  | (*membership)[c1] = c2; | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | // Make sure that every vertex is connected directly to the vertex | 
|  | // identifying the cluster. | 
|  | int num_clusters = 0; | 
|  | for (HashMap<int, int>::iterator it = membership->begin(); | 
|  | it != membership->end(); | 
|  | ++it) { | 
|  | it->second = FindConnectedComponent(it->first, membership); | 
|  | if (it->first == it->second) { | 
|  | ++num_clusters; | 
|  | } | 
|  | } | 
|  |  | 
|  | return num_clusters; | 
|  | } | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres | 
|  |  | 
|  | #endif  // CERES_NO_SUITESPARSE |