Nearest Neighbor Search is an optimization problem for finding the closest point(s) in a space to a given query point, widely used in machine learning, pattern recognition, and computer vision. It balances between computational efficiency and accuracy, especially in high-dimensional spaces, by employing various data structures and algorithms.