Top-Down Induction of Clustering Trees
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.
Cite
Text
Blockeel et al. "Top-Down Induction of Clustering Trees." International Conference on Machine Learning, 1998.Markdown
[Blockeel et al. "Top-Down Induction of Clustering Trees." International Conference on Machine Learning, 1998.](https://mlanthology.org/icml/1998/blockeel1998icml-top/)BibTeX
@inproceedings{blockeel1998icml-top,
title = {{Top-Down Induction of Clustering Trees}},
author = {Blockeel, Hendrik and De Raedt, Luc and Ramon, Jan},
booktitle = {International Conference on Machine Learning},
year = {1998},
pages = {55-63},
url = {https://mlanthology.org/icml/1998/blockeel1998icml-top/}
}