GitHub - basakesin/qsl: Quasi-supervised learning algorithm

Quasi-supervised Learning (QSL) computes the posterior probabilities of two classes at the data points in Z. The class labels are stored in the vector Y. k denotes the number of points to be included in the reference set for exhaustive nearest neighbor classifications, and D is the symmetrical matrix of pairwise distances of the points in Z. In order to use qsl function, you need to add kstar.R function into your workspace.