Constrained clustering by constraint programming

Constrained Clustering allows to make the clustering task more accurate by integrating user constraints, which can be instance-level or cluster-level constraints. Few works consider the integration of different kinds of constraints, they are usually based on declarative frameworks and they are often...

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Bibliographic Details
Published in:	Artificial intelligence Vol. 244; no. 244; pp. 70 - 94
Main Authors:	Dao, Thi-Bich-Hanh, Duong, Khanh-Chuong, Vrain, Christel
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.03.2017 Elsevier Science Ltd Elsevier
Subjects:	Artificial Intelligence Bi-criterion clustering Clustering Clusters Coloring Computer Science Constrained clustering Constraint programming Constraints Criteria Filtering algorithm Filtration Global optimization Global optimization constraint Graph coloring Modeling Partitions Programming Theory of constraints Filtering algorithm Global optimization constraint Bi-criterion clustering Modeling Constrained clustering Constraint programming
ISSN:	0004-3702, 1872-7921
Online Access:	Get full text
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