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Leetcode #547 Friend Circles
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class Solution { | |
public: | |
// M is the friend matrix provided | basic intuition: we need connected components in graph, which can be done by BFS / DFS. | |
// why does this work ? because applying transitive property to this : a friend of b, b friend of c , c friend of d | |
// a,b,c,d should fall into 1 friend circle, just imagine a,b,c,d to be nodes of graph and they are connected by an edge if they | |
// are friends else not connected by an edge, so simply finding the total groups / connected components gives us the answer. | |
int findCircleNum(vector<vector<int>>& M) { | |
vector<bool> friendZoned(M.size(), false); // array to keep track of visited in DFS | |
stack<int> dfs; // stack to execute DFS | |
int circles = 0; // final ans stored in circles | |
for(int i = 0; i < M.size(); i++){ | |
if(!friendZoned[i]){ | |
circles++; // // person i unvisited so start new friend circle | |
// DFS magic : { push to stack - pop top - retrieve neighbours - repeat first 3 steps for each unvisited neighbour until stack empty } | |
dfs.push(i); | |
while(!dfs.empty()){ | |
int current = dfs.top(); dfs.pop(); // pop top | |
friendZoned[current] = true; // mark node visited | |
// retrieve it's unvisited neighbours and push them to stack | |
for(int j = 0; j < M[current].size(); j++){ | |
if(!friendZoned[j] && M[current][j] == 1){ | |
dfs.push(j); | |
} | |
} | |
} | |
} | |
} | |
return circles; | |
} | |
}; |
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