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Problem: K Closest Points to Origin

med
30 min
Explore how to identify the k closest points to the origin from a list of 2D points by applying the top k elements pattern. Understand Euclidean distance calculation and practice implementing efficient solutions using heaps to optimize selection for coding interviews.

Statement

You are given an array of points where each element points[i] =[xi,yi]= [x_i, y_i] represents a point on the X-Y plane, along with an integer k. Your task is to find and return the k points that are closest to the origin [0,0][0, 0].

The distance between two points on the X-Y plane is measured using Euclidean distance, which is calculated as:

Note: You can return the result in any order. The answer is guaranteed to be unique, except for the order in which points appear.

Constraints:

  • 11 \leq k \leq points.length 103\leq 10^3

  • 104xi,yi104-10^4 \leq x_i, y_i \leq 10^4

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Tap here to switch tabs
Problem
Submissions

Problem: K Closest Points to Origin

med
30 min
Explore how to identify the k closest points to the origin from a list of 2D points by applying the top k elements pattern. Understand Euclidean distance calculation and practice implementing efficient solutions using heaps to optimize selection for coding interviews.

Statement

You are given an array of points where each element points[i] =[xi,yi]= [x_i, y_i] represents a point on the X-Y plane, along with an integer k. Your task is to find and return the k points that are closest to the origin [0,0][0, 0].

The distance between two points on the X-Y plane is measured using Euclidean distance, which is calculated as:

Note: You can return the result in any order. The answer is guaranteed to be unique, except for the order in which points appear.

Constraints:

  • 11 \leq k \leq points.length 103\leq 10^3

  • 104xi,yi104-10^4 \leq x_i, y_i \leq 10^4

Unlock AI-Powered LearningUpgrade to smarter learning with instant explanations of Ask Agent, Personalized Interview Prep, Real-World Projects, 3 AI Mock Interviews per month, and Personalized Paths