A new Mallows distance based metric for comparing clusterings

  title={A new Mallows distance based metric for comparing clusterings},
  author={Ding Zhou and Jia Li and Hongyuan Zha},
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing clustering results to tackle two issues insufficiently addressed or even overlooked by existing methods: (a) taking into account the distance between cluster representatives when assessing the similarity of clustering results; (b) constructing a unified framework for defining a distance based on either hard or soft clustering… CONTINUE READING
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