FUZZY HIERARCHICAL CROSS-CLASSIFICATION OF GREEK MUDS

In this paper we analyze the set of Greek muds from eight different lo cations given in ref 16 using a divisive fuzzy hierarchical cross-clas sification algorithm. We consider the fuzzy clustering algorithms are capable to eliminate the disfunctionalities of the hard clustering alg orithms as well as to provide information obtained from a metrical ana lysis of the data. The fuzzy hierarchical cross-classification algorit hm presented here produces not only a fuzzy partition of the muds in d iscussion but also a fuzzy partition of the 23 chemical and mineralogi cal characteristics, so that to each class of muds we may associate th e class of characteristics that contributed to the separation of the c lass of muds.