, Volume 55, Issue 1, pp 151–158 | Cite as

A generalization of Takane's algorithm for dedicom

  • Henk A. L. Kiers
  • Jos M. F. ten Berge
  • Yoshio Takane
  • Jan de Leeuw


An algorithm is described for fitting the DEDICOM model for the analysis of asymmetric data matrices. This algorithm generalizes an algorithm suggested by Takane in that it uses a damping parameter in the iterative process. Takane's algorithm does not always converge monotonically. Based on the generalized algorithm, a modification of Takane's algorithm is suggested such that this modified algorithm converges monotonically. It is suggested to choose as starting configurations for the algorithm those configurations that yield closed-form solutions in some special cases. Finally, a sufficient condition is described for monotonic convergence of Takane's original algorithm.

Key words

DEDICOM least squares fitting majorization 


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Copyright information

© The Psychometric Society 1990

Authors and Affiliations

  • Henk A. L. Kiers
    • 1
  • Jos M. F. ten Berge
    • 1
  • Yoshio Takane
    • 2
  • Jan de Leeuw
    • 3
  1. 1.University of GroningenThe Netherlands
  2. 2.Mcgill UniversityCanada
  3. 3.University of CaliforniaLos Angeles

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