# A Latent Class Multidimensional Scaling Model for Two-Way One-Mode Continuous Rating Dissimilarity Data

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### Cites methods from "A Latent Class Multidimensional Sca..."

...From a computational point of view, unfolding can be considered a special case of Multidimensional Scaling (MDS), where the within-sets proximities are missing (Heiser, 1981)....

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...In a conditional maximum likelihood estimation framework, SA has been used recently, e.g. in the general problem of parameter estimation in a three-parameter lognormal distribution (Vera and Díaz-García, 2008) and in Multidimensional Scaling for two-way one-mode data (Vera et al., 2007b)....

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...Simulated annealing has shown its usefulness in addressing the direct optimization of the loss function in metric exploratory Unidimensional Scaling (Murillo et al., 2005) as well as in Multidimensional Scaling (Vera et al., 2007a)....

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...…have been developed for two-way one-mode dissimilarity data in the classical framework (Bock, 1986), in a least squares framework (Heiser, 1993; Heiser and Groenen, 1997; Vera et al., 2008) and in a maximum likelihood framework for a latent class model for continuous data (Vera et al., 2007b)....

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