importjava.util.Map;importjava.util.HashMap;importjava.util.List;importjava.util.ArrayList;classSolution{publicList<Integer>topKFrequent(int[] nums,intk){// 统计元素的频率Map<Integer, Integer> freqMap =newHashMap<>();for(intnum : nums) { freqMap.put(num, freqMap.getOrDefault(num,0) +1...
importheapqclassSolution:deffindKthLargest(self,nums:list,k:int)->int:# Solution: 小顶堆。# Special considerationsnumsLen=len(nums)ifnumsLen==0:returnNone# ParametersminHeap=[]# minHeap = MinHeap(500)foriinrange(0,numsLen):# ake comparision if there are enough elements in the heapiflen(...
重点是返回前 K 个频率最高的元素, 所以另一种更简单的方法是直接借助 堆(优先队列) 这种数据结构 维护一个 大小为 K 的堆来动态存储前 K 个频率最高的元素, 其时间复杂度为 O(n) 代码: Java: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 class Solution { public List<Integer> topKFrequent...
https://leetcode-cn.com/problems/kth-largest-element-in-an-array 用普通的定长(k)数组作为容器,元素从小到大排列, 遍历列表中的元素,始终维持k个有效元素。 最后取第0个元素就是第k大的元素。 function H(/* int */cap) { this.repo = []; this.cap = cap; this.size = 0; // +1 element ...
【LeetCode】347. Top K Frequent Elements Given a non-empty array of integers, return the k most frequent elements. Example 1: Input: nums = [1,1,1,2,2,3], k = 2 Output: [1,2] Example 2: Input: nums = [1], k = 1 Output: [1] No......
https://leetcode.com/problems/top-k-frequent-elements/ Given a non-empty array of integers, return the k most frequent elements. For example, Given [1,1,1,2,2,3] and k = 2, return [1,2]. Note: You may assume k is always valid, 1 ≤ k ≤ number of unique elements. ...
You may assume k is always valid,1≤ k ≤ number of unique elements. Your algorithm's time complexity must be better than O(n log n), where n is the array's size. step1.显然,为了找出数组中出现频次最多的前k个元素,首先,我们需要分别统计出数组中各个元素出现的频次,很容易想到哈希表,Java...
class Solution: def topKFrequent(self, nums: List[int], k: int) -> List[int]: # 统计 nums 中每个数字出现的次数, # 时间复杂度为 O(n) ,空间复杂度为 O(n) num_to_cnt = Counter(nums) #将 num_to_cnt 中的数字及其出现次数收集到数组中, # 时间复杂度为 O(n) ,空间复杂度为 O(n)...
Leetcode: 347. Top K Frequent Elements Question: Given a non-empty array of integers, return the k most frequent elements. Example 1: Input: nums = [1,1,1,2,2,3], k = 2 Output: [1,2] Solution 1: Priority Queue Time Complexity: Time complex......
FindHeaderBarSize FindTabBarSize FindBorderBarSize Given an integer arraynumsand an integerk, returnthekmost frequent elements. You may return the answer inany order. Example 1: Input:nums = [1,1,1,2,2,3], k = 2Output:[1,2]