Austin Schuh | 70cc955 | 2019-01-21 19:46:48 -0800 | [diff] [blame^] | 1 | // Ceres Solver - A fast non-linear least squares minimizer |
| 2 | // Copyright 2015 Google Inc. All rights reserved. |
| 3 | // http://ceres-solver.org/ |
| 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 |
| 25 | // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| 26 | // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| 27 | // POSSIBILITY OF SUCH DAMAGE. |
| 28 | // |
| 29 | // Author: Sameer Agarwal (sameeragarwal@google.com) |
| 30 | |
| 31 | #include "ceres/single_linkage_clustering.h" |
| 32 | |
| 33 | #include <unordered_map> |
| 34 | #include "ceres/graph.h" |
| 35 | #include "gtest/gtest.h" |
| 36 | |
| 37 | namespace ceres { |
| 38 | namespace internal { |
| 39 | |
| 40 | TEST(SingleLinkageClustering, GraphHasTwoComponents) { |
| 41 | WeightedGraph<int> graph; |
| 42 | const int kNumVertices = 6; |
| 43 | for (int i = 0; i < kNumVertices; ++i) { |
| 44 | graph.AddVertex(i); |
| 45 | } |
| 46 | // Graph structure: |
| 47 | // |
| 48 | // 0-1-2-3 4-5 |
| 49 | graph.AddEdge(0, 1, 1.0); |
| 50 | graph.AddEdge(1, 2, 1.0); |
| 51 | graph.AddEdge(2, 3, 1.0); |
| 52 | graph.AddEdge(4, 5, 1.0); |
| 53 | |
| 54 | SingleLinkageClusteringOptions options; |
| 55 | std::unordered_map<int, int> membership; |
| 56 | ComputeSingleLinkageClustering(options, graph, &membership); |
| 57 | EXPECT_EQ(membership.size(), kNumVertices); |
| 58 | |
| 59 | EXPECT_EQ(membership[1], membership[0]); |
| 60 | EXPECT_EQ(membership[2], membership[0]); |
| 61 | EXPECT_EQ(membership[3], membership[0]); |
| 62 | EXPECT_NE(membership[4], membership[0]); |
| 63 | EXPECT_NE(membership[5], membership[0]); |
| 64 | EXPECT_EQ(membership[4], membership[5]); |
| 65 | } |
| 66 | |
| 67 | TEST(SingleLinkageClustering, ComponentWithWeakLink) { |
| 68 | WeightedGraph<int> graph; |
| 69 | const int kNumVertices = 6; |
| 70 | for (int i = 0; i < kNumVertices; ++i) { |
| 71 | graph.AddVertex(i); |
| 72 | } |
| 73 | // Graph structure: |
| 74 | // |
| 75 | // 0-1-2-3 4-5 |
| 76 | graph.AddEdge(0, 1, 1.0); |
| 77 | graph.AddEdge(1, 2, 1.0); |
| 78 | graph.AddEdge(2, 3, 1.0); |
| 79 | |
| 80 | // This component should break up into two. |
| 81 | graph.AddEdge(4, 5, 0.5); |
| 82 | |
| 83 | SingleLinkageClusteringOptions options; |
| 84 | std::unordered_map<int, int> membership; |
| 85 | ComputeSingleLinkageClustering(options, graph, &membership); |
| 86 | EXPECT_EQ(membership.size(), kNumVertices); |
| 87 | |
| 88 | EXPECT_EQ(membership[1], membership[0]); |
| 89 | EXPECT_EQ(membership[2], membership[0]); |
| 90 | EXPECT_EQ(membership[3], membership[0]); |
| 91 | EXPECT_NE(membership[4], membership[0]); |
| 92 | EXPECT_NE(membership[5], membership[0]); |
| 93 | EXPECT_NE(membership[4], membership[5]); |
| 94 | } |
| 95 | |
| 96 | TEST(SingleLinkageClustering, ComponentWithWeakLinkAndStrongLink) { |
| 97 | WeightedGraph<int> graph; |
| 98 | const int kNumVertices = 6; |
| 99 | for (int i = 0; i < kNumVertices; ++i) { |
| 100 | graph.AddVertex(i); |
| 101 | } |
| 102 | // Graph structure: |
| 103 | // |
| 104 | // 0-1-2-3 4-5 |
| 105 | graph.AddEdge(0, 1, 1.0); |
| 106 | graph.AddEdge(1, 2, 1.0); |
| 107 | graph.AddEdge(2, 3, 0.5); // Weak link |
| 108 | graph.AddEdge(0, 3, 1.0); |
| 109 | |
| 110 | // This component should break up into two. |
| 111 | graph.AddEdge(4, 5, 1.0); |
| 112 | |
| 113 | SingleLinkageClusteringOptions options; |
| 114 | std::unordered_map<int, int> membership; |
| 115 | ComputeSingleLinkageClustering(options, graph, &membership); |
| 116 | EXPECT_EQ(membership.size(), kNumVertices); |
| 117 | |
| 118 | EXPECT_EQ(membership[1], membership[0]); |
| 119 | EXPECT_EQ(membership[2], membership[0]); |
| 120 | EXPECT_EQ(membership[3], membership[0]); |
| 121 | EXPECT_EQ(membership[4], membership[5]); |
| 122 | } |
| 123 | |
| 124 | } // namespace internal |
| 125 | } // namespace ceres |