Adjusting the Clustering Results Referencing an External Set

摘要

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.