Adjusting the clustering results referencing an external set

Authors:
Baojia Li;Yongqian Liu;Mingzhu Liu
Affiliations:
School of Management, Harbin Institute of Technology at Weihai, Weihai, China;School of Management, Harbin Institute of Technology at Weihai, Weihai, China;Department of Mathematics, Harbin Institute of Technology, Harbin, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2010

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Abstract

With the improvement of the information enriching and sharing, it is possible and valuable to increase the information content of the clustering results referencing external information. Two concepts, internal set and external set, are put forward in this paper. The definition of adjusted distance is also given. Based on these, we introduce a method which adjusts the clustering results of data set referencing the information of an external set. The effectiveness of the method is illustrated by the results of numeric experiments.