Document Clustering Method using PCA and Fuzzy Association


The KIPS Transactions:PartB , Vol. 17, No. 2, pp. 177-182, Apr. 2010
10.3745/KIPSTB.2010.17.2.177,   PDF Download:

Abstract

This paper proposes a new document clustering method using PCA and fuzzy association. The proposed method can represent an inherent structure of document clusters better since it select the cluster label and terms of representing cluster by semantic features based on PCA. Also it can improve the quality of document clustering because the clustered documents by using fuzzy association values distinguish well dissimilar documents in clusters. The experimental results demonstrate that the proposed method achieves better performance than other document clustering methods.


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Cite this article
[IEEE Style]
S. Park and D. U. An, "Document Clustering Method using PCA and Fuzzy Association," The KIPS Transactions:PartB , vol. 17, no. 2, pp. 177-182, 2010. DOI: 10.3745/KIPSTB.2010.17.2.177.

[ACM Style]
Sun Park and Dong Un An. 2010. Document Clustering Method using PCA and Fuzzy Association. The KIPS Transactions:PartB , 17, 2, (2010), 177-182. DOI: 10.3745/KIPSTB.2010.17.2.177.