
doi: 10.2333/bhmk.9.11_49
PARAFAC is a three mode factor analytic method developed by R.A. Harshman and is useful for data analysis. The fundamental idea says $${x_{ijk}} \approx \sum\limits_s^S {a_{is}}{b_{js}}{c_{ks}}$$ where xijk is given by measurement for i=1, 2…,I, j=1, 2,…, J, k = 1, 2,…, K; aisbjs, and cks are unknown solutions for the s-th factor, s=1, 2,…, S. However the computer program of PARAFAC developed by Harshman seems to require great skill to understand how to handle it and select the optimal solution through many steps. Here a new fool-proof algorithm not to require any skill is presented.
multidimensional scaling, least square method, trilinear model, characteristic root, factor analytic method, orthogonal condition, quantification theory
multidimensional scaling, least square method, trilinear model, characteristic root, factor analytic method, orthogonal condition, quantification theory
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