Group Decision Making environments have completely changed. The number of information that the experts have available and that, therefore, they can use to discuss about is constantly increasing. There is a need of new Group Decision Making methods, like the one developed in this paper, that are capable of dealing with environments where the number of alternatives is high. In this paper, clustering methods are used in order to sort alternatives in categories and help experts in the task of making a decision.