leetcode链接
示例 1:
输入: nums = [1,1,1,2,2,3], k = 2
输出: [1,2]
示例 2:
输入: nums = [1], k = 1
输出: [1]
思路:
- 统计每个元素出现次数,我们可以使用unordered_map
- 然后按出现频率给元素排序,可以考虑最小堆。优先队列是用堆实现的,可以使用优先队列。
代码:
class Solution { //前K个高频元素
public:
class mycomparison { //升序
public:
bool operator()(const pair& Ihs, const pair& rhs) {
return Ihs.second > rhs.second;
}
};
vector topKFrequent(vector& nums, int k) {
vector result(k);
unordered_map umap;
for (int i : nums) {
umap[i]++;
}
//定义小顶堆
priority_queue, vector>, mycomparison> pri_que;
unordered_map::iterator iter;
for (iter = umap.begin(); iter != umap.end(); ++iter) {
pri_que.push(*iter);
if (pri_que.size() > k) { //保证堆里元素一直为k个
pri_que.pop();
}
}
for (int i = k - 1; i >= 0; --i) {
result[i] = pri_que.top().first;
pri_que.pop();
}
return result;
}
};
int main() {
vector nums = { 1, 1, 1, 2, 2, 3 };
int k = 2;
Solution s;
vector result = s.topKFrequent(nums, k);
for (int i : result){
cout << i << "t";
}
cout << endl;
return 0;
}



