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
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;
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
DOI :
10.1109/ICICTA.2009.387
