DocumentCode
2521109
Title
Clustering analysis with information system approaches
Author
Zhang, Lishi ; Wang, Xianchang ; Zhao, Xueda
fYear
2011
fDate
23-25 May 2011
Firstpage
3504
Lastpage
3507
Abstract
With the large number of attributes, clustering analysis of data is involved into the reduction of its attributes The main task of the present work is to construct a novel clustering analysis method motivated by the fundamental idea from information system, the computer simulation shows that the reduction of attributes gives a better accuracy of clustering rate.
Keywords
data mining; pattern clustering; attribute reduction; clustering analysis; information system approach; Accuracy; Feature extraction; Fractals; Information systems; Rough sets; Solitons; Vectors; Indiscernibility relation; Information system; Reduction of attribute;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location
Mianyang
Print_ISBN
978-1-4244-8737-0
Type
conf
DOI
10.1109/CCDC.2011.5968724
Filename
5968724
Link To Document