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SIGIR
2002
ACM
13 years 7 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
ACL
2011
12 years 11 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
PAMI
2008
152views more  PAMI 2008»
13 years 7 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
13 years 11 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
WWW
2003
ACM
14 years 8 months ago
Web Sessions Clustering with Artificial Ants Colonies
In this paper, we apply AntClust, an ant based clustering algorithm, to the Web usage-mining problem. We define a Web session as a weighted multi-modal vector and we propose an ad...
Gilles Venturini, Nicolas Labroche, Nicolas Monmar...