K-d Tree

A K-d Tree (short for k-dimensional tree) is a data structure that organizes points in space to enable efficient searches. Imagine dividing a space into regions using lines or hyperplanes at each step, sorting points based on their coordinates. This process creates a tree where each node represents a division, helping quickly locate nearby points or perform range searches. It’s especially useful for multi-dimensional data like geographical locations or color values, providing faster search times compared to checking every point individually. Overall, K-d Trees optimize spatial data management and retrieval.