Title :
Research on Improved Weighted Fuzzy Clustering Algorithm Based on Rough Set
Author :
Li Jian-guo ; Gao Jing-wei
Author_Institution :
Dept. of Comput. Sci., Hebei Normal Univ. of Sci. & Technol., Qinhuangdao
Abstract :
Clustering is used to find out the objects that resemble each other and compose different groups, cluster analysis is an important job in data mining. This article brings the rough set into fuzzy cluster, by using the methods of attributes contracted in the rough set theory to improve the FCM algorithm; the improved algorithm had been proved a high precise ratio.
Keywords :
data mining; fuzzy set theory; pattern clustering; rough set theory; data mining; database technology; rough set theory; weighted fuzzy clustering algorithm; Algorithm design and analysis; Clustering algorithms; Clustering methods; Computer science; Data engineering; Databases; Fuzzy sets; Iterative algorithms; Partitioning algorithms; Shape; clustering; rough set; weighted fuzzy;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.236
