题目定义:
有 n 个城市,其中一些彼此相连,另一些没有相连。如果城市 a 与城市 b 直接相连,
且城市 b 与城市 c 直接相连,那么城市 a 与城市 c 间接相连。
省份 是一组直接或间接相连的城市,组内不含其他没有相连的城市。
给你一个 n x n 的矩阵 isConnected ,其中 isConnected[i][j] = 1
表示第 i 个城市和第 j 个城市直接相连,而 isConnected[i][j] = 0 表示二者不直接相连。
返回矩阵中 省份 的数量。
示例 1:
① - ②
③
输入:isConnected = [[1,1,0],[1,1,0],[0,0,1]]
输出:2
示例 2:
① - ②
③
输入:isConnected = [[1,0,0],[0,1,0],[0,0,1]]
输出:3
提示:
1 <= n <= 200
n == isConnected.length
n == isConnected[i].length
isConnected[i][j] 为 1 或 0
isConnected[i][i] == 1
isConnected[i][j] == isConnected[j][i]
方式一(广度优先遍历):
class Solution {
public int findCircleNum(int[][] isConnected) {
int ans = 0;
boolean[] ratios = new boolean[isConnected.length];
Queue<Integer> queue = new ArrayDeque<>();
for(int i = 0 ; i < isConnected.length; i++){
if(ratios[i])
continue;
ans++;
queue.offer(i);
while(!queue.isEmpty()){
int cur = queue.poll();
ratios[cur] = true;
for(int j = 0 ; j < isConnected.length ; j++){
if(j == cur)
continue;
if(isConnected[cur][j] == 1 && !ratios[j]){
queue.offer(j);
}
}
}
}
return ans;
}
}
方式二(深度优先遍历):
class Solution {
public int findCircleNum(int[][] isConnected) {
int ans = 0;
boolean[] visited = new boolean[isConnected.length];
for(int i = 0; i < isConnected.length; i++){
if(!visited[i]){
dfs(isConnected,visited,i);
ans ++;
}
}
return ans;
}
private void dfs(int[][] isConnected,boolean[] visited,int city){
for(int i = 0; i < isConnected.length; i++){
if(isConnected[city][i] == 1 && !visited[i]){
visited[i] = true;
dfs(isConnected,visited,i);
}
}
}
}
方式三(并查集):
class Solution {
public int findCircleNum(int[][] isConnected) {
int provinces = isConnected.length;
int[] parent = new int[provinces];
for(int i = 0; i < provinces; i++)
parent[i] = i;
for(int i = 0; i < provinces; i++)
for(int j = i + 1; j < provinces; j++)
if(isConnected[i][j] == 1)
union(parent,i,j);
int circles = 0;
for(int i = 0; i < provinces; i++)
if(parent[i] == i)
circles++;
return circles;
}
private void union(int[] parent, int index1, int index2){
parent[find(parent,index1)] = find(parent,index2);
}
private int find(int[] parent, int index){
if(parent[index] != index)
parent[index] = find(parent,parent[index]);
return parent[index];
}
}
参考:
https://leetcode-cn.com/problems/number-of-provinces/solution/sheng-fen-shu-liang-by-leetcode-solution-eyk0/