Title: Enhancing clustering methods by inserting relational information
Authors: Witsenburg, Tijn
Blockeel, Hendrik #
Issue Date: 2009
Host Document: 18th Annual Belgian-Dutch Conference on Machine Learning - Proceedings of the Conference pages:95-96
Conference: Annual Belgian-Dutch Conference on Machine Learning edition:18 location:Tilburg, The Netherlands date:18-19 May 2009
Abstract: We consider the problem of clustering elements that have both content and relational information (e.g. Web-pages, scientific papers, etc.). Standard clustering methods use content information only, while graph clustering methods are usually based on the graph structure. Relatively recently, researchers have proposed to combine both types of information. In this paper we propose a simple, yet hitherto unexplored, method to insert the relational information into standard clustering methods.
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
# (joint) last author

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