An acceleration method for Ten Berge et al.’s algorithm for orthogonal INDSCAL

INDSCAL (INdividual Differences SCALing) is a useful technique for investigating both common and unique aspects of K similarity data matrices. The model postulates a common stimulus configuration in a low-dimensional Euclidean space, while representing differences among the K data matrices by differ...

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Veröffentlicht in:	Computational statistics 2010-09, Vol.25 (3), p.409-428
Hauptverfasser:	Takane, Yoshio, Jung, Kwanghee, Hwang, Heungsun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data analysis Dynamical systems Economic Theory/Quantitative Economics/Mathematical Methods Euclidean space Mathematics and Statistics Original Paper Polynomials Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Statistics Studies
Online-Zugang:	Volltext
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