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- // Ceres Solver - A fast non-linear least squares minimizer
- // Copyright 2023 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
- // 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_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_
- #define CERES_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_
- #include <unordered_map>
- #include "ceres/graph.h"
- #include "ceres/internal/disable_warnings.h"
- #include "ceres/internal/export.h"
- namespace ceres::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.
- CERES_NO_EXPORT int ComputeSingleLinkageClustering(
- const SingleLinkageClusteringOptions& options,
- const WeightedGraph<int>& graph,
- std::unordered_map<int, int>* membership);
- } // namespace ceres::internal
- #include "ceres/internal/reenable_warnings.h"
- #endif // CERES_INTERNAL_SINGLE_LINKAGE_CLUSTERING_H_
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