Semantic information within the BEATCA framework
Krzysztof Ciesielski, Dariusz Czerski, Michał Dramiński, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń · 2010
Abstract: In this paper we investigate the impact of semantic information on the quality of hierarchical, fuzzy-based clustering of a collection of textual documents. We show that via a relevant tagging of a part of the documents one can improve the quality of overall clustering, both of tagged and un-tagged documents.