FILTA: Better View Discovery from Collections of Clusterings via Filtering

  title={FILTA: Better View Discovery from Collections of Clusterings via Filtering},
  author={Yang Lei and Xuan Vinh Nguyen and Jeffrey Chan and James Bailey},
Meta-clustering is a popular approach to find multiple clusterings in the datasest, which takes a large number of base clusterings as input for further user navigation and refinement. However, the effectiveness of meta-clustering is highly dependent on the distribution of the base clusterings and open challenges exist with regard to its stability and noise tolerance. In this paper we propose a simple and effective filtering algorithm (FILTA) that can be flexibly used in conjunction with any… CONTINUE READING


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