Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

CEVCLUS: Constrained evidential clustering of proximity data

Authors
Violaine Antoine, Benjamin Quost, Mylène Masson, Thierry Denoeux
Corresponding Author
Violaine Antoine
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.80How to use a DOI?
Keywords
Semi-supervised clustering, pairwise constraints, belief functions, evidence theory, proximity data.
Abstract
We present an improved relational clustering method integrating prior information. This new algorithm, entitled CEVCLUS, is based on two concepts: evidential clustering and constraint-based clustering. Evidential clustering uses the DempsterShafer theory to assign a mass function to each object. It provides a credal partition, which subsumes the notions of crisp, fuzzy and possibilistic partitions. Constraint-based clustering consists in taking advantage of prior information. Such background knowledge is integrated as an additional term in the cost function. Experiments conducted on synthetic and real data demonstrate the interest of the method, even for unbalanced datasets or non-spherical classes.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
DOI
https://doi.org/10.2991/eusflat.2011.80How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Violaine Antoine
AU  - Benjamin Quost
AU  - Mylène Masson
AU  - Thierry Denoeux
PY  - 2011/08
DA  - 2011/08
TI  - CEVCLUS: Constrained evidential clustering of proximity data
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 876
EP  - 882
UR  - https://doi.org/10.2991/eusflat.2011.80
DO  - https://doi.org/10.2991/eusflat.2011.80
ID  - Antoine2011/08
ER  -