Maximal interaction two-mode clustering

HIGHLIGHTS

  • who: Hans-Hermann Bock et al. from the Maastricht University, The Netherlands and KU have published the article: Maximal Interaction Two-Mode Clustering, in the Journal: (JOURNAL)
  • what: The authors provide a statistical justification in terms of a probabilistic model for a two-mode interaction clustering criterion that has been proposed by_(1980). The authors show that maximization of this criterion is equivalent to minimizing the classical least-squares two-mode partitioning criterion for the double-centered version of the data matrix. The authors illustrate the usefulness of the approach for the case of an . . .

     

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