Document clustering using NMF and fuzzy relation

Authors:
Sun Park;Dong Un An;Hyouckmin Yoo
Affiliations:
Chonbuk National University, South Korea;Chonbuk National University, South Korea;Chonbuk National University, South Korea
Venue:
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Year:
2011

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Abstract

This paper proposes a new document clustering method using NMF and fuzzy relation. The proposed method can improve the quality of document clustering because the clustered documents by using fuzzy relation values between semantic features and terms to distinguish well dissimilar documents in clusters, the selected cluster label terms by using semantic features based on NMF, 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.