@inproceedings{shinnou-sasaki-2008-ping,
title = "Ping-pong Document Clustering using {NMF} and Linkage-Based Refinement",
author = "Shinnou, Hiroyuki and
Sasaki, Minoru",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/38_paper.pdf",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Ping-pong Document Clustering using NMF and Linkage-Based Refinement
%A Shinnou, Hiroyuki
%A Sasaki, Minoru
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F shinnou-sasaki-2008-ping
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/38_paper.pdf
Markdown (Informal)
[Ping-pong Document Clustering using NMF and Linkage-Based Refinement](http://www.lrec-conf.org/proceedings/lrec2008/pdf/38_paper.pdf) (Shinnou & Sasaki, LREC 2008)
ACL