One of the classical optimization models for image segmentation is the well-known Markov Random Fields (MRF) model. The MRF problem involves minimizing pairwise-separation and singleton-deviation terms. This model is shown here to be powerful in representing classical problems of ranking, group decision making and clustering. The techniques presented are stronger than continuous techniques used...