Try this answer. First, the data:
int[] a = {1,2,3,4,5,6,7,7,7,7};
Here, we build a map counting the number of times each number appears:
Map<Integer, Integer> map = new HashMap<Integer, Integer>();
for (int i : a) {
Integer count = map.get(i);
map.put(i, count != null ? count+1 : 1);
}
Now, we find the number with the maximum frequency and return it:
Integer popular = Collections.max(map.entrySet(),
new Comparator<Map.Entry<Integer, Integer>>() {
@Override
public int compare(Entry<Integer, Integer> o1, Entry<Integer, Integer> o2) {
return o1.getValue().compareTo(o2.getValue());
}
}).getKey();
As you can see, the most popular number is seven:
System.out.println(popular);
> 7
EDIT
Here's my answer without using maps, lists, etc. and using only arrays; although I'm sorting the array in-place. It's O(n log n) complexity, better than the O(n^2) accepted solution.
public int findPopular(int[] a) {
if (a == null || a.length == 0)
return 0;
Arrays.sort(a);
int previous = a[0];
int popular = a[0];
int count = 1;
int maxCount = 1;
for (int i = 1; i < a.length; i++) {
if (a[i] == previous)
count++;
else {
if (count > maxCount) {
popular = a[i-1];
maxCount = count;
}
previous = a[i];
count = 1;
}
}
return count > maxCount ? a[a.length-1] : popular;
}
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