An attribute reduct algorithm based on clustering

Authors:
Liu Wenjun
Affiliations:
Department of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha city, Hunan Province, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Year:
2009

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Abstract

First, combining the clustering techniques and rough set theory, we put forward an attribute significance algorithm of continuous domain decision table. Then, an attribute reduct algorithm is obtained according to significance of attribute. At last, the effectiveness of this attribute reduct algorithm is verified through a concrete example.