Clustering Analysis with Information System Approaches

摘要：

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.

关键词： Reduction of attribute Information system Indiscernibility relation

作者: Lishi Zhang Xianchang Wang Xueda Zhao

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3512-3515

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）