Combining multiple clusterings by soft correspondence

  title={Combining multiple clusterings by soft correspondence},
  author={Bo Long and Zhongfei Zhang and Philip S. Yu},
  journal={Fifth IEEE International Conference on Data Mining (ICDM'05)},
  pages={8 pp.-}
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because there is no explicit correspondence between the classes from different clusterings. We present a new framework based on soft correspondence to directly address the correspondence problem in combining multiple clusterings. Under this framework, we propose a novel algorithm that iteratively computes the consensus… CONTINUE READING
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