The number of neighbors n strongly in uences the accuracy of the linear
approximation of nonlinear data. Specically, the smaller n, the smaller the
area, the more faithful is the linear approximation. However, if these areas are
disjoint, LLE can fail to detect the global data structure [5]. Disjoint areas can
be obtained especially when the data is sparse or spread among multiple clusters.