Fig. 8From: A graphical heuristic for reduction and partitioning of large datasets for scalable supervised trainingPartitioning of training set. Number of coarsening iterations is 2 and 10 for (a) and (b), respectively. In each subfigure, the first plot is for the re-assessment case I, whereas the overlaying plot with shifted origin is for case IIBack to article page