Files
ceres-solver/internal/ceres/single_linkage_clustering.cc
Sameer Agarwal 39b7cbaa5d Use absl hash containers for graph algorithms
This reduces pre-processor time when finding an
ordering automatically substantially.

Before:

ComputeStableSchurOrdering
                                        Delta   Cumulative
              CreateHessianGraph :    0.50324      0.50324
                     Preordering :    0.00692      0.51017
            StableIndependentSet :    0.26341      0.77358
         ConstantParameterBlocks :    0.00095      0.77453
                           Total :    0.23978      1.01431

After:

ComputeStableSchurOrdering
                                        Delta   Cumulative
              CreateHessianGraph :    0.17183      0.17183
                     Preordering :    0.00226      0.17409
            StableIndependentSet :    0.12510      0.29919
         ConstantParameterBlocks :    0.00073      0.29991
                           Total :    0.01638      0.31629

Change-Id: I50bbac69f8b3f19240a61a218913cebf34da0db5
2024-09-16 21:51:54 +00:00

94 lines
3.4 KiB
C++

// 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)
#include "ceres/single_linkage_clustering.h"
#include "absl/container/flat_hash_map.h"
#include "absl/container/flat_hash_set.h"
#include "absl/log/check.h"
#include "ceres/graph.h"
#include "ceres/graph_algorithms.h"
namespace ceres::internal {
int ComputeSingleLinkageClustering(
const SingleLinkageClusteringOptions& options,
const WeightedGraph<int>& graph,
absl::flat_hash_map<int, int>* membership) {
CHECK(membership != nullptr);
membership->clear();
// Initially each vertex is in its own cluster.
const absl::flat_hash_set<int>& vertices = graph.vertices();
for (const int v : vertices) {
(*membership)[v] = v;
}
for (const int vertex1 : vertices) {
const absl::flat_hash_set<int>& neighbors = graph.Neighbors(vertex1);
for (const int vertex2 : neighbors) {
// 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 (auto& m : *membership) {
m.second = FindConnectedComponent(m.first, membership);
if (m.first == m.second) {
++num_clusters;
}
}
return num_clusters;
}
} // namespace ceres::internal