A New Cluster Validity Measure for Clusters with Different Densities

  title={A New Cluster Validity Measure for Clusters with Different Densities},
  author={Chien-Hsing Chou and Mu-Chun Su and Eugene Lai},
Many validity measures have been proposed for evaluating clustering results. Most of these popular validity measures do not work well for clusters with different densities and/or sizes. They usually have a tendency of ignoring clusters with low densities. In this paper, we propose a new validity measure, which can deal with this situation. The performance evaluation of the validity measure compares favorably to that of several validity functions and shows the effectiveness. 
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