Study on Rough set-based Clustering Result Presentation Method for High Dimensional Data Space

Authors:
Jianbin Chen;Yinmin Gao
Affiliations:
Business College of Beijing Union University, Beijing, China;Business College of Beijing Union University, Beijing, China
Venue:
Proceedings of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering
Year:
2006

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Abstract

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 rough 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.