@inproceedings{bad8ee67313b4166ae4601a01e01df2c,
title = "A new cluster validity measure for clusters with different densities",
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.",
keywords = "Cluster algorithm, Cluster validity, Data mining, Pattern recognition",
author = "Chou, {Chien Hsing} and Su, {Mu Chun} and Eugene Lai",
year = "2003",
language = "???core.languages.en_GB???",
isbn = "0889863555",
series = "Proceedings of the IASTED International Conference on Intelligent Systems and Control",
pages = "276--281",
editor = "M.H. Hamza and M.H. Hamza",
booktitle = "Proceedings of the IASTED International Conference on Intelligent Systems and Control",
note = "Proceedings of the IASTED International Conference on Intelligent Systems and Control ; Conference date: 25-06-2003 Through 27-06-2003",
}