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Solution: K Closest Points to Origin

Explore how to efficiently find the k closest points to the origin from a list of points on the X-Y plane. Understand the use of squared Euclidean distance and max-heap data structure to manage and compare distances. Learn to implement the approach that reduces comparisons and achieves a time complexity of O(n log k). By the end, you'll be equipped to solve this common coding interview problem with an optimized algorithm.

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 ...