A new cluster validity measure for clusters with different densities
Chien Hsing Chou, Mu Su, Eugene Lai · 2003
Abstract 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.