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A generalization of Takane's algorithm for dedicom
Authors:Henk A L Kiers  Jos M F ten Berge  Yoshio Takane  Jan de Leeuw
Institution:(1) University of Groningen, The Netherlands;(2) Department of Psychology, Grote Markt 31/32, 9712 HV Groningen, The Netherlands;(3) Mcgill University, Canada;(4) University of California, Los Angeles
Abstract: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.Financial Support by the Netherlands organization for scientific research (NWO) is gratefully acknowledged. The authors are obliged to Richard Harshman.
Keywords:DEDICOM  least squares fitting  majorization
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