A New Cluster Validity Measure for Clusters with Different Densities

@inproceedings{Chou2004ANC,
  title={A New Cluster Validity Measure for Clusters with Different Densities},
  author={Chien-Hsing Chou and Mu-Chun Su and Eugene Lai},
  year={2004}
}
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. 
10 Citations
32 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 32 references

A Fuzzy Relative of the ISODATA Process and its Use in Detecting Compact Well-Separated Clusters

  • J. C. Dunn
  • Journal Cybern.,
  • 1973
Highly Influential
4 Excerpts

A Competitive Learning Algorithm Using Symmetry

  • M. C. Su, C. H. Chou
  • IEICE Transactions on Fundamentals of Electronics…
  • 1999
1 Excerpt

Fuzzy Cluster Analysis-Methods for Classification

  • F. Höppner, F. Klawonn, R. Kruse, T. Runkler
  • Data Analysis and Image Recognition .
  • 1999
1 Excerpt

Geva , Hierarchical unsupervised fuzzy clustering

  • B. A.
  • IEEE Trans . on Fuzzy Systems
  • 1999

Similar Papers

Loading similar papers…