题目链接:https://leetcode.com/problems/top-k-frequent-elements/
知识点:
优先队列,详细见我的博客 https://blog.youkuaiyun.com/CowBoySoBusy/article/details/84338996
思路:
维护一个k个元素的优先队列,如果遍历到的元素比队列中最小频率的元素频率高,则取出队列中最小频率的元素,将新元素入队.最终队列中剩下的就是前k个出现频率最高的元素.
时间复杂度:O(nlogk),小于之前的O(nlogn).
AC代码:
class Solution
{
public:
vector<int> topKFrequent(vector<int>& nums, int k)
{
unordered_map<int,int> freq;
for(int i=0; i<nums.size(); i++)
{
freq[nums[i]]++;
}
priority_queue<pair<int,int>,vector<pair<int,int>>, greater<pair<int,int>> > pq;
for(unordered_map<int,int>::iterator iter = freq.begin(); iter!=freq.end(); iter++)
{
if(pq.size()==k)
{
if(iter->second>pq.top().first)
{
pq.pop();
pq.push(make_pair(iter->second,iter->first));
}
}
else
pq.push(make_pair(iter->second,iter->first));
}
vector<int> res;
while(!pq.empty())
{
res.push_back(pq.top().second);
pq.pop();
}
return res;
}
};