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Towards Explainable Clustering: A Constrained Declarative based Approach
In our framework an explanation of a cluster is a set of patterns, and we propose a novel interpretable constrained clustering method called ECS for declarative clustering with Explainabilty-driven Cluster Selection that integrates structural or domain expert knowledge expressed by means of constraints.
Incremental Constrained Clustering by Minimal Weighted Modification
Clustering is a well-known task in Data Mining that aims at grouping data instances according to their similarity.
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Incremental Constrained Clustering
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