Title :
Clustering analysis with information system approaches
Author :
Zhang, Lishi ; Wang, Xianchang ; Zhao, Xueda
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968724