void kruskalCluster(Graph & G)
{
std::vector<Cluster> clusters;
for (SnapNode NI = G->BegNI(); NI < G->EndNI(); NI++)
{
Cluster c;
c.empty = false;
c.clusterElements.push_back(NI.GetDat());
clusters.push_back(c);
}
std::vector <SnapEdge> result;
std::deque <SnapEdge> Q;
for (SnapEdge NI = G->BegEI(); NI < G->EndEI(); NI++)
{
Q.push_back(NI);
}
while(!Q.empty())
{
std::sort(Q.begin(), Q.end(), sortClusters);
SnapEdge edge = Q.front();
Q.pop_front();
if(!compareCluster((int)edge.GetSrcNDat(), (int)edge.GetDstNDat(), clusters))
{
result.push_back(edge);
}
}
for(int i = 0; i<result.size(); i++)
{
std::cout << "(" << result[i].GetSrcNDat() << ", " << result[i].GetDstNDat() << ", " << result[i].GetDat() << ")" << std::endl;
}
}
int getLargestNode(Graph & G)
{
int largest = G->BegNI().GetDat();
for (SnapNode NI = G->BegNI(); NI != G->EndNI(); NI++)
{
if(NI.GetDat() > largest)
largest = NI.GetDat();
}
return largest;
}
void printDetail(Graph & G)
{
for (SnapNode NI = G->BegNI(); NI != G->EndNI(); NI++)
{
std::cout << "Id: " << NI.GetId() << " Out Degree: " << NI.GetOutDeg() << " In Degree: " << NI.GetInDeg() << std::endl;
}
for (SnapEdge NI = G->BegEI(); NI < G->EndEI(); NI++)
{
std::cout << "Edge from " << (int)NI.GetSrcNDat() << " --> " << (int)NI.GetDstNDat() << " with weight " << (int)NI.GetDstNDat() << std::endl;
}
}
void dijkstra(Graph & G, int v, bool bench)
{
int size = G->GetNodes();
std::vector<float> distances (size,inf);
std::vector<int> parents (size,-1);
std::priority_queue<std::pair<float, Graph::TObj::TNodeI> > queue;
distances[v-1] = 0;
parents[v-1] = -1;
for(SnapNode NI = G->BegNI(); NI != G->EndNI(); NI++)
{
queue.push(std::make_pair(distances[NI.GetDat()-1], NI));
}
while(!queue.empty())
{
SnapNode u = queue.top().second;
float dist = queue.top().first;
queue.pop();
int sourceNode = u.GetDat();
for (int ed = 0; ed < u.GetOutDeg(); ed++)//For each adjacent vertex to node NI
{
int destNode = u.GetOutNDat(ed);
SnapEdge e = G->GetEI(sourceNode,destNode);
float alt = dist + e.GetDat();
if(alt < distances[destNode-1])//relax
{
distances[destNode-1] = alt;
parents[destNode-1] = sourceNode;
queue.push(std::make_pair(alt, G->GetNI(destNode)));
}
}
}
if(!bench)
{
int node = 1;
for (int i = 0 ; i< parents.size(); i++)
{
if(parents[node-1] == -1)
std::cout << "start -> " << node << " distance: " << distances[node-1] << std::endl;
else
std::cout << parents[node-1] << " -> " << node << " distance: " << distances[node-1] << std::endl;
node++;
}
}
}
void kruskal(Graph & G, bool bench)
{
int largestNode = getLargestNode(G);
std::vector<disjointTreeNode*> disjointNodes(largestNode);
std::vector<SnapEdge> result;
std::deque<SnapEdge> Q;
for(SnapNode NI = G->BegNI(); NI < G->EndNI(); NI++)
{
disjointTreeNode* x = new disjointTreeNode();
x->id = NI.GetDat();
makeSet(x);
disjointNodes[x->id-1] = x;
}
for (SnapEdge NI = G->BegEI(); NI < G->EndEI(); NI++)
{
Q.push_back(NI);
}
while (! Q.empty())
{
std::sort(Q.begin(), Q.end(), sortClusters);
SnapEdge e = Q.front();
Q.pop_front();
disjointTreeNode* u = Find(disjointNodes[e.GetSrcNDat()-1]);
disjointTreeNode* v = Find(disjointNodes[e.GetDstNDat()()-1]);
if ( u != v )
{
result.push_back(e);
Union(disjointNodes[e.GetSrcNDat()-1], disjointNodes[e.GetDstNDat()-1]);
}
}
if(!bench)
{
for(int i = 0; i<result.size(); i++)
{
std::cout << result[i].GetSrcNDat() << " --> " << result[i].GetDstNDat() << " peso: " << result[i].GetDat() << std::endl;
}
}
}