Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions

@article{Strehl2002ClusterE,
  title={Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions},
  author={Alexander Strehl and Joydeep Ghosh},
  journal={Journal of Machine Learning Research},
  year={2002},
  volume={3},
  pages={583-617}
}
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that determined these partitionings. We first identify several application scenarios for the resultant ‘knowledge reuse’ framework that we call cluster ensembles. The cluster ensemble problem is then formalized as a combinatorial optimization problem in terms of shared mutual information. In addition to a direct maximization… CONTINUE READING
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