Hierarchical Ensemble Clustering

  title={Hierarchical Ensemble Clustering},
  author={Li Zheng and Tao Li and Chris H. Q. Ding},
  journal={2010 IEEE International Conference on Data Mining},
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input) clusterings have been obtained for a particular dataset and it is desired to find a single (consensus) clustering which is a better fit in some sense than the existing clusterings. Many approaches have been developed to solve ensemble clustering problems over the last few years. However, most of these ensemble… CONTINUE READING
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Publications referenced by this paper.
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Cluster Ensemble Selection

Statistical Analysis and Data Mining • 2008

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