DocumentCode :
2437155
Title :
A Novel Alternative Weighted Fuzzy C-Means Algorithm and Cluster Validity Analysis
Author :
Xiang, Wang ; Rui, Guo ; Jizhong, Liu ; Xiaoying, Gao ; Lina, Wang ; Wei, Lei ; Zhiying, Liu ; Chi, Zhang ; Ke, Zuo
Author_Institution :
Coll. of Electron. & Inf. Eng., Beihang Univ., Beijing
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
130
Lastpage :
134
Abstract :
Proposed a novel fuzzy cluster algorithm-AWFCM, aiming at large miss-clustering and invalidation in the fuzzy C-means algorithm when has noises and uneven samples situation. This new algorithm defined a new distance in new metric space and introduced weight matrix based on sample dots´ density. New definition of distance can efficiently restrain the error range of clustering centers for samples with noise points in iteration, meanwhile improve recursion for clustering centers according to samples´ density. Experiments have proved that AWFCM algorithm overcomes bugs of FCM algorithm to a certain extent, with favorable convergence and robust.
Keywords :
pattern clustering; alternative weighted fuzzy c-means algorithm; cluster validity analysis; fuzzy cluster algorithm-AWFCM; Aerospace industry; Algorithm design and analysis; Clustering algorithms; Computational intelligence; Computer industry; Conferences; Fuzzy control; Fuzzy set theory; Fuzzy sets; Iterative algorithms; AWFCM; FCM; clustering; distance; weighted;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.286
Filename :
4756750
Link To Document :
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