文献类型：会议论文

英文题名：Study on Rough set-based Clustering Result Presentation Method for High Dimensional Data Space

作者：Chen Jianbin[1];Gao Yinmin[1]

第一作者：陈建斌

通讯作者：Chen, JB[1]

机构：[1]Beijing Union Univ, Coll Business, Beijing, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), A3, Beijing 100025, Peoples R China.

会议论文集：13th ISPE International Conference on Concurrent Engineering

会议日期：SEP 18-21, 2006

会议地点：Antibes, FRANCE

语种：英文

外文关键词：Clustering Result Presentation; High-dimensional data space; Rough set

摘要：Since the internal structure of data set is unknown before clustering, the clusters should be presented properly, so that user can get the result completely and accomplish the task of knowledge discovering. The presentation and explanation of the clustering result play an important role in the clustering process. Based on the study of rough set, the tough set theory on attribute space is imported and a new clustering result presentation method is advanced, with the different property consideration of the object space and attribute space of high dimensional data set. This method can provide relatively synthesis information of clustering result from object space and attribute space, reflect the clustering knowledge with rules, enable users to capture more useful pattern and to hold the internal structure of data sets.