Given a list of lidar points (3D coordinates) and a distance K, group the points into clusters using the following rule: if the distance between two points is <= K, then the two points should be in the same cluster. This works transitively, so if dist(A, B) <= K and dist(B, C) <= K, all 3 are in the same cluster. k = 1 points = [(1, 0, 0), (3, 0, 0), (100, 0, 0), (101, 0, 0), (2, 0, 0), (50, 0, 0)] cluster(points, k) => [ [(1, 0, 0), (3, 0, 0), (2, 0, 0)], [(100, 0, 0), (101, 0, 0)], [(50, 0, 0)], ]