A Noise Insensitive Cluster Validity Measure for Pattern Classification

@article{Chen2009ANI,
  title={A Noise Insensitive Cluster Validity Measure for Pattern Classification},
  author={Gang Chen and Xiaoyong Guo and Tai Hu},
  journal={2009 Eighth IEEE/ACIS International Conference on Computer and Information Science},
  year={2009},
  pages={574-578}
}
When trying to discover knowledge on a collection of data, one of the first arising tasks is to identify groups of similar objects, that is, to carry out cluster analysis for obtaining data partitions. Thus, a decision must be taken for choosing the clustering result that produces the best data partition for a given data collection. In order to support such a decision, indexes for measuring the quality of a data partitioning must be constructed. So far, several cluster validity indexes have… CONTINUE READING

Similar Papers

Loading similar papers…