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Ping-pong Document Clustering using NMF and Linkage-Based Refinement

Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008)

DOI:10.63317/3ejb7qfbf7kc

Abstract

This paper proposes a ping-pong document clustering method using NMF and the linkage based refinement alternately, in order to improve the clustering result of NMF. The use of NMF in the ping-pong strategy can be expected effective for document clustering. However, NMF in the ping-pong strategy often worsens performance because NMF often fails to improve the clustering result given as the initial values. Our method handles this problem with the stop condition of the ping-pong process. In the experiment, we compared our method with the k-means and NMF by using 16 document data sets. Our method improved the clustering result of NMF significantly.

Details

Paper ID
lrec2008-main-287
Pages
N/A
BibKey
shinnou-sasaki-2008-ping
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
2-9517408-4-0
Conference
Sixth International Conference on Language Resources and Evaluation
Location
Marrakech, Morocco
Date
28 May 2008 30 May 2008

Authors

  • HS

    Hiroyuki Shinnou

  • MS

    Minoru Sasaki

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