Dynamic fuzzy relation and its application research in data clustering
Fanzhang Li · Computer Engineering and Applications Journal · 2009
Based on dynamic fuzzy relation,the concept of cut-matrix and a method of building dynamic fuzzy equivalence relation according to dynamic fuzzy similarity relation are presented.On such basis,combining classification technology in data mining,a clustering algorithm for dynamic fuzzy data is proposed.Using this algorithm,not only widen the range of clustering objects,but also can meet actual requirement.At last,an example is presented to illustrate the proposed algorithm.