Tijn Witsenburg

K-Means Based Approaches to Clustering Nodes in Annotated Graphs

Hendrik Blockeel, Tijn Witsenburg, H. Blockeel, 2011, ISMIS.

On the importance of similarity measures for planning to learn

Hendrik Blockeel, Hossein Rahmani, Tijn Witsenburg, 2010, ECAI 2010.

Exploiting homophily in unsupervised learning

Hendrik Blockeel, Tijn Witsenburg, 2010 .

Improving the Accuracy of Similarity Measures by Using Link Information

Hendrik Blockeel, Tijn Witsenburg, 2011, ISMIS.

Graphs, Hypergraphs, and Inductive Logic Programming

Hendrik Blockeel, Joost N. Kok, Tijn Witsenburg, 2007, MLG.

Enhancing clustering methods by inserting relational information

Hendrik Blockeel, Tijn Witsenburg, 2009 .

A method to extend existing document clustering procedures in order to include relational information

Hendrik Blockeel, Tijn Witsenburg, 2008, MLG 2008.