Top-down induction of clustering trees
<|reference_start|>Top-down induction of clustering trees: 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.<|reference_end|>
@article{blockeel2000top-down,
    title={Top-down induction of clustering trees},
    author={Hendrik Blockeel, Luc De Raedt and Jan Ramon},
    journal={Machine Learning, Proceedings of the 15th International Conference
  (J. Shavlik, ed.), Morgan Kaufmann, 1998, pp. 55-63},
    year={2000},
    archivePrefix={arXiv},
    eprint={cs/0011032},
    primaryClass={cs.LG}
}