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使用Boost Graph库查找连接的组件,其顶点和边类型为boost :: listS

[英]Find connected components using Boost Graph library, with the vertex and edge type being boost::listS

I am trying to find connected components in an undirected graph. 我试图在无向图中找到连接的组件。 The graph is represented by boost::adjacency_list . 该图由boost::adjacency_list表示。 For my application, the vertex and edge type have to be boost::listS . 对于我的应用程序,顶点和边类型必须为boost::listS I tried the following code, which doesn't compile. 我尝试了以下无法编译的代码。 However, if I change the vertex and edge type to boost::vecS , the code will just work fine. 但是,如果将顶点和边类型更改为boost::vecS ,则代码将正常工作。 Any idea on how to fix the code? 关于如何修复代码有任何想法吗?

#include <iostream>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/connected_components.hpp>
typedef boost::adjacency_list<boost::listS,boost::listS,boost::undirectedS> Cluster;
int main() {
    using namespace boost;
    Cluster A;
    add_vertex(A);
    add_vertex(A);
    add_vertex(A);
    add_vertex(A); // add 4 vertex to the graph

    for (int i=0; i<2; i++){
        for (int j=(i+1); j<3; j++){
            std::cout<<i<<"  "<<j<<"\n";
            add_edge(vertex(i,A), vertex(j,A), A);
        }
    } // add edge between 0-1, 0-2, 1-2.

    std::vector<int> subclusters(num_vertices(A));
    int nclusters=boost::connected_components(A, &subclusters[0]); // find the connected components
}    

The docs say¹ the component map needs to model a writable property map with key vertex_descriptor and storing the compoment id as value. 文档说¹组件图需要使用key vertex_descriptor建模可写属性图,并将组件ID存储为值。

You should probably use make_assoc_property_map with a map: 您可能应该将make_assoc_property_map与地图一起使用:

Live On Coliru 生活在Coliru

std::map<Cluster::vertex_descriptor, int> subclusters;
int nclusters = boost::connected_components(A, boost::make_assoc_property_map(subclusters)); // find the connected components


for (auto& p : subclusters) {
    std::cout << "Vertex " << boost::get(boost::vertex_index, A, p.first) << " is in cluster " << p.second << "\n";
}

Prints: 打印:

0 -- 1
0 -- 2
1 -- 2
Vertex 0 is in cluster 0
Vertex 1 is in cluster 0
Vertex 2 is in cluster 0
Vertex 3 is in cluster 1

But I Want A Vector 但我想要一个向量

If you insist, you can still use a vector BUT you'll have to provide the mapping from vertex-descriptor to an integral vertex id: 如果坚持的话,仍然可以使用向量BUT,但必须提供从顶点描述符到整数顶点ID的映射:

typedef boost::adjacency_list<
        boost::listS,
        boost::listS,
        boost::undirectedS,
        boost::property<boost::vertex_index_t, int>
    > Cluster;

Now, you have to fill that property too: 现在,您也必须填写该属性:

Cluster A;
add_vertex(0, A);
add_vertex(1, A);
add_vertex(2, A);
add_vertex(3, A);

And then you have to use make_iterator_property_map instead, supplying a vertex index property-map for the indirection: 然后,您必须改用make_iterator_property_map ,为间接提供顶点索引属性映射:

std::vector<int> subclusters(4);
auto comp_map = make_iterator_property_map(subclusters.begin(), get(boost::vertex_index, A));
int nclusters = connected_components(A, comp_map); // find the connected components

Live On Coliru 生活在Coliru

#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/connected_components.hpp>
#include <iostream>

typedef boost::adjacency_list<
        boost::listS,
        boost::listS,
        boost::undirectedS,
        boost::property<boost::vertex_index_t, int>
    > Cluster;

int main() {
    Cluster A;
    add_vertex(0, A);
    add_vertex(1, A);
    add_vertex(2, A);
    add_vertex(3, A);

    for (int i = 0; i < 2; i++) {
        for (int j = (i + 1); j < 3; j++) {
            std::cout << i << " -- " << j << "\n";
            add_edge(vertex(i, A), vertex(j, A), A);
        }
    } // add edge between 0-1, 0-2, 1-2.

    // NOTE: 4, not "num_vertices", but enough to accomodate the highest value
    // of the `vertex_index` property
    std::vector<int> subclusters(4);
    auto comp_map = make_iterator_property_map(subclusters.begin(), get(boost::vertex_index, A));
    int nclusters = connected_components(A, comp_map); // find the connected components

    for (size_t id = 0; id < subclusters.size(); ++id) {
        std::cout << "Vertex id " << id << " is in cluster " << subclusters.at(id) << "\n";
    }
}

Prints 打印

0 -- 1
0 -- 2
1 -- 2
Vertex id 0 is in cluster 0
Vertex id 1 is in cluster 0
Vertex id 2 is in cluster 0
Vertex id 3 is in cluster 1

¹ ¹ 在此处输入图片说明

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