On choice of thresholds for disorder algorithms for segmentation of experimental curves

With special choice of thresholds the disorder mechanism for two classes is shown to construct a segmentation of the experimental curve which minimizes the mean risk for the specified loss function. A reasonable way to choose the threshold for an arbitrary number of classes is indicated.