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» Hoarding Context Information with Context Clusters
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EVOW
2005
Springer
14 years 1 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
HT
2009
ACM
14 years 2 months ago
Contextualising tags in collaborative tagging systems
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controll...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
DAWAK
2004
Springer
14 years 1 months ago
SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng L...
IWC
2002
121views more  IWC 2002»
13 years 7 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
ITNG
2010
IEEE
14 years 23 days ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...