Document clustering with semantic features and fuzzy association

Abstract

This paper proposes a new document clustering method using the semantic features and fuzzy association. The proposed method can improve the quality of document clustering because the clustered documents by using fuzzy association values to distinguish well dissimilar documents, the selected cluster label term by semantic features, which is used in document clustering, can represent an inherent structure of document set better. The experimental results demonstrate that the proposed method achieves better performance than other document clustering methods. © 2010 Springer-Verlag Berlin Heidelberg.