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 :
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