User Feedback-Driven Document Clustering Technique for Information Organization

概要

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This paper discusses a new type of semisupervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes documents into groups based only on similarity measures. In this paper, we attempt to isolate more semantically coherent clusters hy employing the domain-specific knowledge provided by a ducument analyst. By using external human knowledge to guide the clustering mechanism with some flexibility when creating the clusters, clustering efficiency can be considerably enhanced. Experimental results show that the use of only a little external knowledge can considerably enhance the quality of clustering results that satisfy users' constraint.
社団法人電子情報通信学会の論文
2002-06-01