Top-down induction of clustering trees

Hendrik Blockeel, Luc De Raedt, and Jan Ramon. In J. Shavlik, editor, Proceedings of the 15th International Conference on Machine Learning, pages 55--63. Morgan Kaufmann, July 1998.

Abstract

An 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.

BibTeX entry.

Other publications

H Blockeel, hendrik@cs.kuleuven.ac.be,

L De Raedt, Luc.DeRaedt@cs.kuleuven.ac.be,