A comparison of two methods for fitting the INDCLUS model

Ten Berge, J. M. F. & Kiers, H. A. L., 2005, In : Journal of Classification. 22, 2, p. 273-285 13 p.

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Chaturvedi and Carroll have proposed the SINDCLUS method for fitting the INDCLUS model. It is based on splitting the two appearances of the cluster matrix in the least squares fit function and relying on convergence to a solution where both cluster matrices coincide. Kiers has proposed an alternative method which preserves equality of the cluster matrices throughout. This paper shows that the latter method is generally to be preferred. However, because the method has a serious local minimum problem, alternative approaches should be contemplated.

Original languageEnglish
Pages (from-to)273-285
Number of pages13
JournalJournal of Classification
Issue number2
Publication statusPublished - 2005


  • binary clustering, binary least squares fitting, proximity matrices, INDIVIDUAL-DIFFERENCES, ADCLUS MODEL, ALGORITHM, MAPCLUS

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