Semi-supervised selective affinity propagation ensemble clustering with active constraints

HIGHLIGHTS

• who: Semi-Supervised Selective Affinity Propagation et al. from the School of Automation, South University, Changsha, China have published the paper: Semi-Supervised Selective Affinity Propagation Ensemble Clustering With Active Constraints, in the Journal: (JOURNAL)
• what: 4) Experiments are conducted to demonstrate the effectiveness of the proposed selective framework and the role of active constraints. In this paper, the coverage ratio and NMI are introduced to select suitable component clusters. EXPERIMENT To verify the effectiveness of the clustering method proposed in this paper, the UCI and man-made datasets are selected for the clustering simulation . . .
  

   

  

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