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

Author

Li, Bo ; Rupeng Suri ; Xu, Banghai ; Wu, Wenguo

Author_Institution

Sch. of Comput. Sci. & Technol., Ludong Univ., Yantai

fYear

2008

fDate

2-4 July 2008

Firstpage

2654

Lastpage

2658

Abstract

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.

Keywords

data mining; fuzzy set theory; pattern clustering; data mining; environment detecting system; fuzzy theory; fuzzy-clustering algorithm; hard partition; similarity relation pretreatment; Algorithm design and analysis; Application software; Clustering algorithms; Computer science; Data analysis; Data mining; Educational institutions; Electronic mail; Fuzzy control; Partitioning algorithms; clustering algorithm; data mining; fuzzy clustering; similarity relation;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597807

Filename

4597807