top-k-frequent-words
692. Top K Frequent Words
Given an array of strings words
and an integer k
, return the k
most frequent strings.
Return the answer sorted by the frequency from highest to lowest. Sort the words with the same frequency by their lexicographical order.
Example 1:
Input: words = ["i","love","leetcode","i","love","coding"], k = 2 Output: ["i","love"] Explanation: "i" and "love" are the two most frequent words. Note that "i" comes before "love" due to a lower alphabetical order.
Example 2:
Input: words = ["the","day","is","sunny","the","the","the","sunny","is","is"], k = 4 Output: ["the","is","sunny","day"] Explanation: "the", "is", "sunny" and "day" are the four most frequent words, with the number of occurrence being 4, 3, 2 and 1 respectively.
Constraints:
1 <= words.length <= 500
1 <= words[i].length <= 10
words[i]
consists of lowercase English letters.k
is in the range[1, The number of **unique** words[i]]
Follow-up: Could you solve it in O(n log(k))
time and O(n)
extra space?
class Solution {
public:
vector<string> topKFrequent(vector<string>& words, int k) {
// res 最多就 k 的長度
vector<string> res(k);
// 計算每個單字的頻率
unordered_map<string, int> freq;
for (auto word : words) ++freq[word];
auto cmp = [](pair<string, int>& a, pair<string, int>& b) {
// a.second > b.second 比較頻率
// priority_queue 和 sort custom compare 的順序相反
// 如果頻率是由小排到大的話,會是 a.second > b.second
// 如果出現頻率一樣的話,a.second == b.second && a.first < b.first
// 比較字串
return a.second > b.second || (a.second == b.second && a.first < b.first);
};
priority_queue<pair<string, int>, vector<pair<string, int>>, decltype(cmp)> pq(cmp);
for (auto f : freq) {
pq.push(f);
// 維持 k 的長度,如果 太長就 pop 掉,從頻率少的開始 popup
if (pq.size() > k) pq.pop();
}
// 因為這時候的 priority queue 是從小排到大
// 所以從 res 的最後面開始裝
for (int i = res.size() - 1; i >= 0; --i) {
res[i] = pq.top().first; pq.pop();
}
return res;
}
};
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