Advances in Research of Fuzzy C-Means Clustering Algorithm

Author

Yanyun, Chen ; Jianlin, Qiu ; Xiang, Gu ; Jianping, Chen ; Dan, Ji ; Li, Chen

Author_Institution

Coll. of Comput. Sci. & Technol., Nantong Univ., Nantong, China

Volume

2

fYear

2011

fDate

14-15 May 2011

Firstpage

28

Lastpage

31

Abstract

Fuzzy Clustering Analysis is one of the most popular research currently. It attracts people´s attention for it´s validity in resolving fuzzy problem. With the development of computer science, Fuzzy Clustering Analysis based on objective function became hot topics and Fuzzy C-means Clustering Algorithm is one of the most perfect and most widely used theories although there are some drawbacks for the classical algorithm itself. This paper summarizes the progress of FCM algorithm, and some algorithm improvements were analyzed and compared.

Keywords

fuzzy logic; fuzzy reasoning; fuzzy set theory; pattern clustering; FCM algorithm; computer science; fuzzy c-means clustering algorithm; fuzzy problem; objective function; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Computer science; Data mining; Indexes; Fuzzy C-means algorithm; Fuzzy Clustering; data mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Computing and Information Security (NCIS), 2011 International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-61284-347-6

Type

conf

DOI

10.1109/NCIS.2011.104

Filename

5948786