One issue that can arise with convex hull algorithms is that they assume that the points are uniformly distributed, or at least have a similar density. This means that the distance between any two ...

The body of computing comvex hull for given data The output/computing result is a 2D numpy array with shape of Mx2, where M is the number of points that will form the convex hull. Given a test dataset ...

Abstract: In this paper we present an effective kinetic data structure (KDS) and algorithm for efficient maintenance of convex hull of moving points in 2d space. Given n objects continuously moving in ...

The Graham Scan algorithm is used to find the convex hull of a set of points in a 2D plane. The convex hull is the smallest polygon that can enclose all the given points. Input: A list of points ...