Medium
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
import java.util.Arrays;
public class Solution {
private int calDistSqr(int[] point) {
return point[0] * point[0] + point[1] * point[1];
}
private void swap(int[][] points, int i, int j) {
int[] temp = points[i];
points[i] = points[j];
points[j] = temp;
}
private void quickSelect(int[][] points, int k, int left, int right) {
if (left >= right) {
return;
}
// choose pivot index, could be randomly
int pIdx = (right - left) / 2 + left;
int[] pivot = points[pIdx];
int pivotDist = calDistSqr(pivot);
// put pivot into the last position
swap(points, pIdx, right);
// i: for iterating the array; curPIdx: the proper position to put pivot later
int i = left;
int curPIdx = left;
while (i < right) {
if (calDistSqr(points[i]) <= pivotDist) {
// put all the smaller item to the left side of the array
swap(points, i, curPIdx);
// move proper pivot position forward
curPIdx++;
}
i++;
}
// put pivot back into the correct position
swap(points, curPIdx, right);
// for ele in arr[0:curPIdx] => ele <= arr[curPIdx]
int num = curPIdx - left + 1;
if (num == k) {
return;
}
if (num < k) {
quickSelect(points, k - num, curPIdx + 1, right);
}
if (num > k) {
quickSelect(points, k, left, curPIdx - 1);
}
}
public int[][] kClosest(int[][] points, int k) {
quickSelect(points, k, 0, points.length - 1);
return Arrays.copyOf(points, k);
}
}