PROXSCAL: A Multidimensional Scaling Program for Individual Differences Scaling with Constraints

may serve two purposes. First, they can beused to handle missing data, where certain (dis)similarities are not known; in that case, thecorresponding weights are simply set equal to zero. A second application of the weights is toput a larger emphasis on certain (dis)similarities in the analysis than on others.Restrictions. The unknown matrices X

[1]  Willem J. Heiser,et al.  Constrained Multidimensional Scaling: more directions than Dimensions , 1984 .

[2]  Phipps Arabie,et al.  Three-way scaling and clustering. , 1987 .

[3]  P. Groenen,et al.  The majorization approach to multidimensional scaling for Minkowski distances , 1995 .

[4]  J. Leeuw Convergence of the majorization method for multidimensional scaling , 1988 .

[5]  J. Meulman The integration of multidimensional scaling and multivariate analysis with optimal transformations , 1992 .

[6]  Points of view analysis revisited: Fitting multidimensional structures to optimal distance components with cluster restrictions on the variables , 1993 .

[7]  J. Kruskal Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[8]  P. Arabie,et al.  Indclus: An individual differences generalization of the adclus model and the mapclus algorithm , 1983 .

[9]  Patrick J. F. Groenen,et al.  The majorization approach to multidimensional scaling : some problems and extensions , 1993 .

[10]  A. Kimball Romney,et al.  Cognitive Aspects of English Kin Terms , 2009 .

[11]  L. Guttman A general nonmetric technique for finding the smallest coordinate space for a configuration of points , 1968 .

[12]  W. Heiser A generalized majorization method for least souares multidimensional scaling of pseudodistances that may be negative , 1991 .

[13]  Moonja P. Kim,et al.  The Method of Sorting as a Data-Gathering Procedure in Multivariate Research. , 1975, Multivariate behavioral research.

[14]  Wayne S. DeSarbo,et al.  Three-Way Scaling and Clustering. , 1989 .