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» A new suffix tree similarity measure for document clustering
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IJCAI
2007
13 years 6 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
ESANN
2008
13 years 6 months ago
Clustering of Self-Organizing Map
Abstract. In this paper, we present a new similarity measure for a clustering self-organizing map which will be reached using a new approach of hierarchical clustering. (1) The sim...
Hanane Azzag, Mustapha Lebbah
CICLING
2007
Springer
13 years 11 months ago
Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
David Pinto, José-Miguel Benedí, Pao...
ANTSW
2004
Springer
13 years 10 months ago
How to Use Ants for Hierarchical Clustering
Abstract. We present in this paper, a new model for document hierarchical clustering, which is inspired from the self-assembly behavior of real ants. We have simulated the way ants...
Hanene Azzag, Christiane Guinot, Gilles Venturini
WWW
2009
ACM
13 years 10 months ago
Extracting data records from the web using tag path clustering
Fully automatic methods that extract lists of objects from the Web have been studied extensively. Record extraction, the first step of this object extraction process, identifies...
Gengxin Miao, Jun'ichi Tatemura, Wang-Pin Hsiung, ...