DocumentCode
1899046
Title
A Fast Algorithm for Fuzzy Clustering Problem
Author
Zhang Feng ; Wuqin Zhang ; Renguo Qiang
Author_Institution
Inst. of Opt. & Electron., Chinese Acad. of Sci., Chengdu, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
633
Lastpage
636
Abstract
This paper presents a new fast algorithm for fuzzy clustering problem, based on the properties of fuzzy similarity relations and fuzzy equivalency relations. The fast algorithm has been validated under matlab, with the operation amount less than half and speeds faster 2 times than the traditional algorithm at least.
Keywords
algorithm theory; fuzzy set theory; fuzzy systems; pattern clustering; fast algorithm; fuzzy clustering problem; fuzzy equivalency relation; fuzzy similarity relation; Acceleration; Algorithm design and analysis; Automation; Clustering algorithms; Data analysis; Fuzzy sets; Optical computing; Paper technology; Partitioning algorithms; fast algorithm; fuzzy clustering; fuzzy relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.387
Filename
5287763
Link To Document