|  | // Ceres Solver - A fast non-linear least squares minimizer | 
|  | // Copyright 2015 Google Inc. All rights reserved. | 
|  | // http://ceres-solver.org/ | 
|  | // | 
|  | // 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 | 
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|  | // | 
|  | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
|  |  | 
|  | #ifndef CERES_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_ | 
|  | #define CERES_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_ | 
|  |  | 
|  | #include <unordered_map> | 
|  | #include "ceres/graph.h" | 
|  |  | 
|  | namespace ceres { | 
|  | namespace internal { | 
|  |  | 
|  | struct SingleLinkageClusteringOptions { | 
|  | // Graph edges with edge weight less than min_similarity are ignored | 
|  | // during the clustering process. | 
|  | double min_similarity = 0.99; | 
|  | }; | 
|  |  | 
|  | // Compute a partitioning of the vertices of the graph using the | 
|  | // single linkage clustering algorithm. Edges with weight less than | 
|  | // SingleLinkageClusteringOptions::min_similarity will be ignored. | 
|  | // | 
|  | // membership upon return will contain a mapping from the vertices of | 
|  | // the graph to an integer indicating the identity of the cluster that | 
|  | // it belongs to. | 
|  | // | 
|  | // The return value of this function is the number of clusters | 
|  | // identified by the algorithm. | 
|  | int ComputeSingleLinkageClustering( | 
|  | const SingleLinkageClusteringOptions& options, | 
|  | const WeightedGraph<int>& graph, | 
|  | std::unordered_map<int, int>* membership); | 
|  |  | 
|  | }  // namespace internal | 
|  | }  // namespace ceres | 
|  |  | 
|  | #endif  // CERES_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_ |