There are n cities. Some of them are connected, while some are not. If city a is connected directly with city b, and city b is connected directly with city c, then city a is connected indirectly with city c.
A province is a group of directly or indirectly connected cities and no other cities outside of the group.
You are given an n x n matrix isConnected where isConnected[i][j] = 1 if the ith city and the jth city are directly connected, and isConnected[i][j] = 0 otherwise.
Return the total number of provinces.
Example 1:
Input: isConnected = [[1,1,0],[1,1,0],[0,0,1]]
Output: 2
Example 2:
Input: isConnected = [[1,0,0],[0,1,0],[0,0,1]]
Output: 3
Constraints:
1 <= n <= 200
n == isConnected.length
n == isConnected[i].length
isConnected[i][j] is 1 or 0.
isConnected[i][i] == 1
isConnected[i][j] == isConnected[j][i]
public int findCircleNum(int[][] isConnected) { int n = isConnected.length; int count = 0; boolean[] visited = new boolean[n]; Queue<Integer> q = new LinkedList<Integer>();
while (true) { // 1. find a un-visited node from all nodes for (int i = 0; i < n; i++) { if (visited[i] == false) { q.add(i); count++; visited[i] = true; break; } }
// 2. start BFS using the node above if (q.isEmpty()) { break; } else { // mark all adjacent nodes are visited while (!q.isEmpty()) { int cur = q.remove(); for (int j = 0; j < n; j++) { if (j != cur && isConnected[j][cur] == 1 && !visited[j]) { q.add(j); visited[j] = true; } } } } } return count; }
public int findCircleNum(int[][] isConnected) { int cities = isConnected.length; boolean[] visited = new boolean[cities]; int provinces = 0; Queue<Integer> queue = new LinkedList<Integer>(); for (int i = 0; i < cities; i++) { if (!visited[i]) { queue.offer(i); while (!queue.isEmpty()) { int j = queue.poll(); visited[j] = true; for (int k = 0; k < cities; k++) { if (isConnected[j][k] == 1 && !visited[k]) { queue.offer(k); } } } provinces++; } } return provinces; }