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Authors: Celine Vens 1 ; Bart Verstrynge 1 and Hendrik Blockeel 2

Affiliations: 1 KU Leuven, Belgium ; 2 KU Leuven and Universiteit Leiden, Belgium

Keyword(s): Clustering, Semi-supervised Clustering, Constraint-based Clustering, Metric Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: We consider the following problem: Given a set of data and one or more examples of clusters, find a clustering of the whole data set that is consistent with the given clusters. This is essentially a semi-supervised clustering problem, but different from those that have been studied until now. We argue that it occurs frequently in practice, but despite this, none of the existing methods can handle it well. We present a new method that specifically targets this type of problem. We show that the method works better than standard methods and identify opportunities for further improvement.

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Paper citation in several formats:
Vens, C.; Verstrynge, B. and Blockeel, H. (2013). Semi-supervised Clustering with Example Clusters. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 45-51. DOI: 10.5220/0004547300450051

@conference{kdir13,
author={Celine Vens. and Bart Verstrynge. and Hendrik Blockeel.},
title={Semi-supervised Clustering with Example Clusters},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR},
year={2013},
pages={45-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004547300450051},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR
TI - Semi-supervised Clustering with Example Clusters
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Vens, C.
AU - Verstrynge, B.
AU - Blockeel, H.
PY - 2013
SP - 45
EP - 51
DO - 10.5220/0004547300450051
PB - SciTePress

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