Research and application of fuzzy-clustering algorithm based on pretreatment of similarity relation

An important class of data mining problems is clustering. The traditional clustering algorithm is a kind of hard partition and it parts strictly each object into some cluster. But the real object is not always having distinct attributes, so fuzzy theory is introduced to deal with it. In this paper an improved algorithm is introduced based on the research of fuzzy theory and other clustering algorithms. It is introduced on the base of improving the FCM algorithm and used to analyzing the data that are from the environment detecting system. The result is encouraging.