LeetCode 973. K Closest Points to Origin

Description

https://leetcode.com/problems/missing-ranges/

We have a list of points on the plane.  Find the K closest points to the origin (0, 0).

(Here, the distance between two points on a plane is the Euclidean distance.)

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]]
(The answer [[-2,4],[3,3]] would also be accepted.)

Note:

  1. 1 <= K <= points.length <= 10000
  2. -10000 < points[i][0] < 10000
  3. -10000 < points[i][1] < 10000

Explanation

use a priority queue

Python Solution

from queue import PriorityQueue

class Solution:
    def kClosest(self, points: List[List[int]], K: int) -> List[List[int]]:
        results = []
        
        distances = []
       
        distances = PriorityQueue()

        
        for point in points:
            distance = sqrt(point[0]**2 + point[1]**2)
        
            distances.put((distance, point))
        
        for i in range(0, K):
            results.append(distances.get()[1])
        
        return results
  • Time complexity: ~N
  • Space complexity: ~N

One Thought to “LeetCode 973. K Closest Points to Origin”

Leave a Reply

Your email address will not be published. Required fields are marked *