Title :
A kind of improved method of fuzzy clustering
Author :
Liu, Wen-yuan ; Chen, Zhi-Wang ; Bai, Peng ; Fang, Shu-Fen ; Shi, Yan
Author_Institution :
Dept. of Inf., YanShan Univ., Hebei, China
Abstract :
In this paper, the improvement of fuzzy c-means clustering method is discussed. In the improvement of fuzzy c-means clustering method, the distance definition in Euclidean space is replaced by fuzzy weighting distance, a new definition of distance. As a result, using the method of data simulation, we prove the improved method of fuzzy clustering has a better result and clearer classification than the original method.
Keywords :
fuzzy set theory; pattern clustering; Euclidean space; data simulation; fuzzy c-means clustering method; fuzzy weighting distance; Clustering algorithms; Clustering methods; Engineering management; Fuzzy systems; Iterative algorithms; Management information systems; Neural networks; Partitioning algorithms; Space technology; Technology management; fuzzy c-means clustering method; fuzzy clustering; fuzzy weighting coefficient; fuzzy weighting distance;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527391
