Top-down induction of clustering trees

Simple item page
dc.creatorBlockeel, Hendrik
dc.creatorDe Raedt, Luc
dc.creatorRamon, Jan
dc.date2000-11-21
dc.date.accessioned2026-07-07T03:16:45Z
dc.date.available2026-07-07T03:16:45Z
dc.descriptionAn approach to clustering is presented that adapts the basic top-down induction of decision trees method towards clustering. To this aim, it employs the principles of instance based learning. The resulting methodology is implemented in the TIC (Top down Induction of Clustering trees) system for first order clustering. The TIC system employs the first order logical decision tree representation of the inductive logic programming system Tilde. Various experiments with TIC are presented, in both propositional and relational domains.
dc.description9 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/cs/0011032
dc.identifierhttp://arxiv.org/abs/cs/0011032
dc.identifierMachine Learning, Proceedings of the 15th International Conference (J. Shavlik, ed.), Morgan Kaufmann, 1998, pp. 55-63
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30471
dc.subjectMachine Learning
dc.subjectI.2.6
dc.titleTop-down induction of clustering trees
dc.typetext

Files

Collections

arXiv