Bicriterion methods for partitioning dissimilarity matrices.

  title={Bicriterion methods for partitioning dissimilarity matrices.},
  author={Michael J. Brusco and J. Dennis Cradit},
  journal={The British journal of mathematical and statistical psychology},
  volume={58 Pt 2},
Partitioning indices associated with the within-cluster sums of pairwise dissimilarities often exhibit a systematic bias towards clusters of a particular size, whereas minimization of the partition diameter (i.e. the maximum dissimilarity element across all pairs of objects within the same cluster) does not typically have this problem. However, when the partition-diameter criterion is used, there is often a myriad of alternative optimal solutions that can vary significantly with respect to… CONTINUE READING