This paper presents the first version of a new inductive data- base system called SCCQL. The system performs constraint-based clus- tering on a relational database. Clustering problems are formulated with a query language, an extension of SQL for clustering that includes must-link and cannot-link constraints. The functioning of the system is explained. As an example of use of this system, an application in the context of microbiology has been developed that is presented here.
['Antoine Adam', 'Hendrik Blockeel', 'Sander K. Govers', 'Abram Aertsen']
SCCQL : A Constraint-Based Clustering System