leetcode 692. Top K Frequent Words

题目描述
【leetcode 692. Top K Frequent Words】Given a non-empty list of words, return the k most frequent elements.
Your answer should be sorted by frequency from highest to lowest. If two words have the same frequency, then the word with the lower alphabetical order comes first.
Example 1:

Input: ["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: ["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.

Note:
  1. You may assume k is always valid, 1 ≤ k ≤ number of unique elements.
  2. Input words contain only lowercase letters.

Follow up:
  1. Try to solve it in O(n log k) time and O(n) extra space.
思路:
同347 https://blog.csdn.net/orangefly0214/article/details/93034018
实现1:最小堆
//采用最小堆 public List topKFrequent(String[] words, int k) { List ret=new LinkedList<>(); Map map=new HashMap<>(); for(String str:words){ map.put(str,map.getOrDefault(str,0)+1); } //声明一个最小堆 PriorityQueue pq = new PriorityQueue<>( (a,b) -> a.getValue()==b.getValue() ? b.getKey().compareTo(a.getKey()) : a.getValue()-b.getValue() ); //在最小堆中保留出现频率最高的2个数 for (Map.Entry entry: map.entrySet()) { pq.offer(entry); if(pq.size()>k){ pq.poll(); } } while(!pq.isEmpty()){ ret.add(0,pq.poll().getKey()); } return ret; }

实现2:桶排序
//采用桶排序 public List topKFrequent2(String[] words, int k) { HashMap map=new HashMap<>(); int max=0; for (String w:words) { map.put(w,map.getOrDefault(w,0)+1); max=Math.max(max,map.get(w)); } List[] bucket=new ArrayList[max+1]; for(Map.Entry entry:map.entrySet()){ int fre=entry.getValue(); if(bucket[fre]==null){ bucket[fre]=new ArrayList<>(); } bucket[fre].add(entry.getKey()); } List res=new ArrayList<>(); for (int i = max; i>=0&&res.size()


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