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» A Semi-Supervised Document Clustering Algorithm Based on EM
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KAIS
2002
144views more  KAIS 2002»
15 years 1 months ago
Correlation-Based Web Document Clustering for Adaptive Web Interface Design
A great challenge for web site designers is how to ensure users' easy access to important web pages efficiently. In this paper we present a clustering-based approach to addres...
Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu,...
NIPS
2007
15 years 3 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
ERCIMDL
2001
Springer
131views Education» more  ERCIMDL 2001»
15 years 6 months ago
An On-Line Document Clustering Method Based on Forgetting Factors
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
Yoshiharu Ishikawa, Yibing Chen, Hiroyuki Kitagawa
EMNLP
2010
14 years 11 months ago
Latent-Descriptor Clustering for Unsupervised POS Induction
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
Michael Lamar, Yariv Maron, Elie Bienenstock
ECIR
2006
Springer
15 years 3 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez