DocumentCode
2153471
Title
Small-large ratio based Multi-subjected clustering
Author
Fan, Quanrun ; Pan, Feng
Author_Institution
Department of Computer Science, Chuxiong Normal University, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
5391
Lastpage
5394
Abstract
After the discussion of Multi-subjected clustering problems, a small-large ratio based multi-subjected clustering algorithm was purposed to solve this kind of problems for transactions data.
Keywords
Algorithm design and analysis; Clustering algorithms; Data mining; Data models; Knowledge management; Software; Software algorithms; Small-large Ratio; multi-subjected clustering; transaction data;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691465
Filename
5691465
Link To Document