LeetCode – Top K Frequent Elements (Java)

 

Given a non-empty array of integers, return the k most frequent elements.

Java Solution 1 - Using HashMap and Heap

Time is O(n*log(k)).

class Pair{
    int num;
    int count;
    public Pair(int num, int count){
        this.num=num;
        this.count=count;
    }
}
 
public class Solution {
    public List<Integer> topKFrequent(int[] nums, int k) {
        //count the frequency for each element
        HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
        for(int num: nums){
            if(map.containsKey(num)){
                map.put(num, map.get(num)+1);
            }else{
                map.put(num, 1);
            }
        }
 
        // create a min heap
        PriorityQueue<Pair> queue = new PriorityQueue<Pair>(new Comparator<Pair>(){
            public int compare(Pair a, Pair b){
                return a.count-b.count;
            }
        });
 
        //maintain a heap of size k. 
        for(Map.Entry<Integer, Integer> entry: map.entrySet()){
            Pair p = new Pair(entry.getKey(), entry.getValue());
            queue.offer(p);
            if(queue.size()>k){
                queue.poll();
            }
        }
 
        //get all elements from the heap
        List<Integer> result = new ArrayList<Integer>();
        while(queue.size()>0){
            result.add(queue.poll().num);
        }
        //reverse the order
        Collections.reverse(result);
 
        return result;
    }
}

Java Solution 2 - Bucket Sort

Time is O(n).

public List<Integer> topKFrequent(int[] nums, int k) {
    //count the frequency for each element
    HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
    for(int num: nums){
        if(map.containsKey(num)){
            map.put(num, map.get(num)+1);
        }else{
            map.put(num, 1);
        }
    }
 
    //get the max frequency
    int max = 0;
    for(Map.Entry<Integer, Integer> entry: map.entrySet()){
        max = Math.max(max, entry.getValue());
    }
 
    //initialize an array of ArrayList. index is frequency, value is list of numbers
    ArrayList<Integer>[] arr = (ArrayList<Integer>[]) new ArrayList[max+1];
    for(int i=1; i<=max; i++){
        arr[i]=new ArrayList<Integer>();
    }
 
    for(Map.Entry<Integer, Integer> entry: map.entrySet()){
        int count = entry.getValue();
        int number = entry.getKey();
        arr[count].add(number);
    }
 
    List<Integer> result = new ArrayList<Integer>();
 
    //add most frequent numbers to result
    for(int j=max; j>=1; j--){
        if(arr[j].size()>0){
            for(int a: arr[j]){
                result.add(a);
                //if size==k, stop
                if(result.size()==k){
                    break;
                }
            }
        }
    }
 
    return result;
}

Java Solution 3 - A Regular Counter (Deprecated)

We can solve this problem by using a regular counter, and then sort the counter by value.

public class Solution {
    public List<Integer> topKFrequent(int[] nums, int k) {
        List<Integer> result = new ArrayList<Integer>();
 
        HashMap<Integer, Integer> counter = new HashMap<Integer, Integer>();
 
        for(int i: nums){
            if(counter.containsKey(i)){
                counter.put(i, counter.get(i)+1);
            }else{
                counter.put(i, 1);
            }    
        }
 
        TreeMap<Integer, Integer> sortedMap = new TreeMap<Integer, Integer>(new ValueComparator(counter));
        sortedMap.putAll(counter);
 
        int i=0;
        for(Map.Entry<Integer, Integer> entry: sortedMap.entrySet()){
            result.add(entry.getKey());
            i++;
            if(i==k)
                break;
        }
 
        return result;
    }
}
 
class ValueComparator implements Comparator<Integer>{
    HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
 
    public ValueComparator(HashMap<Integer, Integer> m){
        map.putAll(m);
    }
 
    public int compare(Integer i1, Integer i2){
        int diff = map.get(i2)-map.get(i1);
 
        if(diff==0){
            return 1;
        }else{
            return diff;
        }
    }
}

Related posts:

  1. LeetCode – Majority Element II (Java)
  2. LeetCode – 4Sum (Java)
  3. LeetCode – Largest Divisible Subset (Java)
  4. LeetCode – 3Sum
Category >> Algorithms  
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  • sherry

    Solution 1, you can directly store Map.Entry in PriorityQueue and you don’t need to create Pair.
    PriorityQueue<Map.Entry> minHeap = new PriorityQueue(k, new comparator<Map.Entry() {//…});

  • Bukary Kandeh

    Shortest Java solution with good efficiency. See my solution, I have added comments. Time is O(n).


    public static int topKFrequentArray(int[] array, int k){

    /* First get element and number of occurrence using HashMap */
    Map hm = new HashMap();
    for(int i : array){
    if(hm.containsKey(i)){
    hm.put(i, hm.get(i) + 1);
    }
    else {hm.put(i, 1);}
    }

    /*Since Map does not allow dups keys, let's swap the key & value and insert into multimap. This sorts it as well */
    Multimap mp = ArrayListMultimap.create();
    for(Map.Entry m : hm.entrySet()){
    mp.put(m.getValue(),m.getKey());
    }

    /* Finally we extract all values (ordered by smallest) and load into a list */
    List ls = new ArrayList();
    Set ks = mp.keySet();
    Iterator it = ks.iterator();
    while (it.hasNext() ) {
    ls.addAll(new ArrayList(mp.get((Integer) it.next())));
    }
    /* Since the biggest is last of the list, we substract k from the List Size */
    return ls.get(ls.size()-k);
    }

  • Bukary Kandeh


    My slick java solution, easy to understand and very efficient. Time is O(n).

    public static int topKFrequent(int[] array, int k){
    Map hm = new HashMap();
    Multimap mp = ArrayListMultimap.create();
    List ls = new ArrayList();

    for(int i : array){
    if(hm.containsKey(i)){hm.put(i, hm.get(i) + 1); }
    else {hm.put(i, 1);}
    }

    for(Map.Entry m : hm.entrySet()){mp.put(m.getValue(),m.getKey());}

    Set ks = mp.keySet();
    Iterator it = ks.iterator();
    while (it.hasNext() ) {
    Collection val = mp.get((Integer) it.next());
    for(int i : val){ls.add(i);}
    }

    System.out.println("Print " +k+" Character");
    for(int i=ls.size()-1, cnt=1; i>=0; cnt++, i--){if(cnt == k){return ls.get(i);}}
    return 0;
    }

  • ryanlr

    Fixed. Thanks!

  • Ed

    There’s a bug in solution 2-
    //add most frequent numbers to result
    for(int j=max; j>=1; j–){
    if(arr[j].size()>0){
    for(int a: arr[j]){
    result.add(a);
    }
    }

    if(result.size()==k)
    break;
    }

    The check for result.size()==k should be inside the loop after result.add(a). This is because result.size() == k can occur when your looping each int a.

  • Longqi Zhang

    Java Solution 2 – Bucket Sort has bug.
    Try this array to test:

    int a[] = {1, 2, 4, 2, 2, 5, 1, 4, 2, 1, 4, 2};
    int k=2;

    The code below:

    if (result.size() == k) {
    break;
    }

    should be changed to:

    if (result.size() >= k) {
    break;
    }

  • Ankit Shah

    Treemap code can be as concise as this:


    Map sortedMap = new TreeMap(new Comparator() {
    public int compare(Integer o1, Integer o2) {
    int diff = map.get(o2) - map.get(o1);
    return diff == 0 ? 1 : diff;
    }
    });
    sortedMap.putAll(counter);

  • Sudhakar R

    Second solution i think the code to populate result should look like this.

    for(int j=max; j>=k-1; j–){
    if(count[j].size()>0){
    for(int a: count[j]){
    result.add(a);
    }
    }
    }