Dissolution point and isolation robustness : robustness criteria for general cluster analysis methods

@inproceedings{Hennig2005DissolutionPA,
  title={Dissolution point and isolation robustness : robustness criteria for general cluster analysis methods},
  author={Christian Hennig},
  year={2005}
}
Two robustness criteria are presented that are applicable to general clustering methods. Robustness and stability in cluster analysis are not only data dependent, but even cluster dependent. Robustness is in the present paper defined as a property of not only the clustering method, but also of every individual cluster in a data set. The main principles are: (a) dissimilarity measurement of an original cluster with the most similar cluster in the induced clustering, (b) the dissolution point… CONTINUE READING
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