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Given an array of points
where points[i] = [xi, yi]
represents a point on the X-Y plane and an integer k
, return the k
closest points to the origin (0, 0)
.
The distance between two points on the X-Y plane is the Euclidean distance (i.e., √(x1 - x2)2 + (y1 - y2)2
).
You may return the answer in any order. The answer is guaranteed to be unique (except for the order that it is in).
Example 1:
Input: points = [[1,3],[-2,2]], k = 1
Output: [[-2,2]]
Explanation:
The distance between (1, 3) and the origin is sqrt(10).
The distance between (-2, 2) and the origin is sqrt(8).
Since sqrt(8) < sqrt(10), (-2, 2) is closer to the origin.
We only want the closest k = 1 points from the origin, so the answer is just [[-2,2]].
Example 2:
Input: points = [[3,3],[5,-1],[-2,4]], k = 2
Output: [[3,3],[-2,4]]
Explanation: The answer [[-2,4],[3,3]] would also be accepted.
Constraints:
1 <= k <= points.length <= 104
-104 < xi, yi < 104
public int[][] kClosest(int[][] points, int K) {
Arrays.sort(points, Comparator.comparing(p -> p[0] * p[0] + p[1] * p[1]));
return Arrays.copyOfRange(points, 0, K);
}
def kClosest(self, points, K):
return heapq.nsmallest(K, points, lambda (x, y): x * x + y * y)
vector<vector<int>> kClosest(vector<vector<int>>& A, int K) {
nth_element(A.begin(), A.begin() + K, A.end(), [](vector<int>& a, vector<int>& b) {
return a[0] * a[0] + a[1] * a[1] < b[0] * b[0] + b[1] * b[1];
});
return vector<vector<int>>(A.begin(), A.begin() + K);
}
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