Descripción: “...These data contain valuable information that can be used to improve the  competitiveness  of institutions owners of these data.The information  to discover can have many forms,  among  them associative  rules or groups of denominated  sets (Cluster), if to this we add the capacity that  has the Fuzzy Logic of breaking up with the third  excluded principle and to allow the relevancy from an element to several Cluster, we have a quite useful methodology when classifying in sets the content of the database.associative  rules or groups of denominated sets (Cluster), if to this we add the capacity that  has the Fuzzy Logic of breaking up with the third  excluded principle and to allow the relevancy from an element to several Cluster, we have a quite useful methodology when classifying in sets the content of the databases.In this paper is shown the implementation  of an  algorithm denominated C -Means for the grouping of data in fuzzy sets, this it has been implemented with the development of a  denominated program  (Software  Mining Data Fuzzy) SM2D 1.21.0  Beta.Key words: Data Bases (BD), Fuzzy Sets, Cluster, C-Means, Data Mining. ...”