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» Algorithms for Clustering Data
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FLAIRS
2000
13 years 9 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
ECAI
2008
Springer
13 years 10 months ago
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
AIME
2005
Springer
14 years 1 months ago
Towards Information Visualization and Clustering Techniques for MRI Data Sets
Abstract. The paper deals with the integrated use of Information Visualization techniques and clustering algorithms to analyze Magnetic Resonance Imaging (MRI) data sets. The paper...
Umberto Castellani, Carlo Combi, Pasquina Marzola,...
PR
2008
88views more  PR 2008»
13 years 8 months ago
Modified global k
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
Adil M. Bagirov
AAIM
2009
Springer
118views Algorithms» more  AAIM 2009»
14 years 2 months ago
A More Relaxed Model for Graph-Based Data Clustering: s-Plex Editing
We introduce the s-Plex Editing problem generalizing the well-studied Cluster Editing problem, both being NP-hard and both being motivated by graph-based data clustering. Instead o...
Jiong Guo, Christian Komusiewicz, Rolf Niedermeier...