DocumentCode
2546994
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
Volume
2
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
98
Lastpage
102
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3334-6
Type
conf
DOI
10.1109/ICCET.2009.236
Filename
4769566
Link To Document