Consensus clustering and interactive feature selection are very useful methods to extract
and manage knowledge from texts. While consensus clustering allows the aggregation of …

The potential for semi-supervised techniques to produce personalized clusters has not been
explored. This is due to the fact that semi-supervised clustering algorithms used to be …

Nowadays, academic researchers maintain a personal library of papers, which they would
like to organize based on their needs, eg, research, projects, or courseware. Clustering …