Active selection of clustering constraints: a sequential approach
Active constraint selection as an open issue in constrained clustering is examined. The method relies on the information of boundaries and transition regions of data. A utility measure based on the description of data is proposed for constraints. This utility measure considers the constraint utility dependencies. Constraints are selected in a sequential approach utilizing the utility measure.
active constraint selection constrained clustering pairwise constraints data description