On Clustering Validation Techniques

  title={On Clustering Validation Techniques},
  author={Maria Halkidi and Yannis Batistakis and Michalis Vazirgiannis},
  journal={Journal of Intelligent Information Systems},
Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in large data sets. It has been subject of wide research since it arises in many application domains in engineering, business and social sciences. Especially, in the last years the availability of huge transactional and experimental data sets and the arising requirements for data mining created needs for clustering algorithms that scale and can be… CONTINUE READING
Highly Influential
This paper has highly influenced 103 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 2,186 citations. REVIEW CITATIONS
957 Citations
33 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 957 extracted citations

2,186 Citations

Citations per Year
Semantic Scholar estimates that this publication has 2,186 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 33 references

Applied Multivariate Techniques

  • S. C. Sharma
  • John Willwy & Sons.
  • 1996
Highly Influential
4 Excerpts

Spatial Datasets: an "unofficial" collection

  • Y. Theodoridis
  • 1999
1 Excerpt

Similar Papers

Loading similar papers…