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TopKFrequentElements.java
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package com.leetcode.heaps;
import javafx.util.Pair;
import java.util.*;
import java.util.stream.Collectors;
import static org.junit.jupiter.api.Assertions.assertEquals;
/**
* Level: Medium
* Link: https://leetcode.com/problems/top-k-frequent-elements/
* Description:
* Given a non-empty array of integers, return the k most frequent elements.
* <p>
* Example 1:
* Input: nums = [1,1,1,2,2,3], k = 2
* Output: [1,2]
* <p>
* Example 2:
* Input: nums = [1], k = 1
* Output: [1]
* <p>
* Note:
* - 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.
*
* @author rampatra
* @since 2019-08-19
*/
public class TopKFrequentElements {
/**
* TODO: A faster approach without using Pair.
* <p>
* Runtime: <a href="https://leetcode.com/submissions/detail/253027938/">51 ms</a>.
*
* @param nums
* @param k
* @return
*/
public static List<Integer> topKFrequent(int[] nums, int k) {
Map<Integer, Integer> numCount = new HashMap<>();
PriorityQueue<Pair<Integer, Integer>> pq = new PriorityQueue<>(Comparator.comparing(Pair::getValue));
for (int num : nums) {
numCount.put(num, numCount.getOrDefault(num, 0) + 1);
}
for (Map.Entry<Integer, Integer> entry : numCount.entrySet()) {
pq.add(new Pair<>(entry.getKey(), entry.getValue()));
if (pq.size() > k) {
pq.poll();
}
}
return pq.stream().map(Pair::getKey).collect(Collectors.toList());
}
public static void main(String[] args) {
assertEquals("[2, 1]", topKFrequent(new int[]{1, 1, 1, 2, 2, 3}, 2).toString());
assertEquals("[0]", topKFrequent(new int[]{3, 0, 1, 0}, 1).toString());
assertEquals("[1]", topKFrequent(new int[]{1}, 1).toString());
assertEquals("[1, 2]", topKFrequent(new int[]{1, 2}, 2).toString());
assertEquals("[2, -1]", topKFrequent(new int[]{4, 1, -1, 2, -1, 2, 3}, 2).toString());
}
}