Global and local choice of the number of nearest neighbors in locally linear embedding

► We propose a new method for automatically computing the number of neighbors in LLE. ► We analyze the global and local properties of the embedding results. ► We study manifolds where the density and the intrinsic dimensionality of the neighborhoods are variable. ► Artificial and real-world datasets were tested.