@@ -8,10 +8,7 @@ Clus is a decision tree and rule induction system that implements the [predictiv
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@@ -8,10 +8,7 @@ Clus is a decision tree and rule induction system that implements the [predictiv
Classification and regression trees are special cases of PCTs, and by choosing the right parameter settings Clus can closely mimic the behavior of tree learners such as [CART](http://www.amazon.com/Classification-Regression-Trees-Leo-Breiman/dp/0412048418) or [C4.5](http://www.amazon.com/C4-5-Programs-Machine-Learning-Kaufmann/dp/1558602380). However, its applicability goes well beyond classical classification or regression tasks: Clus has been successfully applied to many different tasks including multi-task learning (multi-target classification and regression), structured output learning, multi-label classification, hierarchical classification, and time series prediction. Next to these supervised learning tasks, PCTs are also applicable to semi-supervised learning, subgroup discovery, and clustering. In a similar way, predictive clustering rules or PCRs generalize [classification rule sets](http://portal.acm.org/citation.cfm?id=112163) and also apply to the aforementioned learning tasks.
Classification and regression trees are special cases of PCTs, and by choosing the right parameter settings Clus can closely mimic the behavior of tree learners such as [CART](http://www.amazon.com/Classification-Regression-Trees-Leo-Breiman/dp/0412048418) or [C4.5](http://www.amazon.com/C4-5-Programs-Machine-Learning-Kaufmann/dp/1558602380). However, its applicability goes well beyond classical classification or regression tasks: Clus has been successfully applied to many different tasks including multi-task learning (multi-target classification and regression), structured output learning, multi-label classification, hierarchical classification, and time series prediction. Next to these supervised learning tasks, PCTs are also applicable to semi-supervised learning, subgroup discovery, and clustering. In a similar way, predictive clustering rules or PCRs generalize [classification rule sets](http://portal.acm.org/citation.cfm?id=112163) and also apply to the aforementioned learning tasks.
Clus is co-developed by the [[http://dtai.cs.kuleuven.be/|Declarative Languages and Artificial Intelligence]] group of the [[http://www.kuleuven.be/|Katholieke Universiteit Leuven]], Belgium, and the [[http://kt.ijs.si/|Department of Knowledge Technologies]] of the [[http://www.ijs.si/|Jožef Stefan Institute]], Ljubljana, Slovenia. It is written in Java and is open-source software licensed under the [[http://www.gnu.org/licenses/gpl.html|GPL]].
Clus is co-developed by the [Declarative Languages and Artificial Intelligence](http://dtai.cs.kuleuven.be/) group of the [[http://www.kuleuven.be/|Katholieke Universiteit Leuven]], Belgium, and the [Department of Knowledge Technologies](http://kt.ijs.si/) of the [Jožef Stefan Institute](http://www.ijs.si/), Ljubljana, Slovenia. It is written in Java and is open-source software licensed under the [GPL](http://www.gnu.org/licenses/gpl.html).
