The purpose of the present study is to introduce a model and the associated nonmetric algorithm of multidimensional scaling for analyzing one-mode two-way (object × object) asymmetric proximities. In the model each object is represented as a point in a multidimensional Euclidean space, and a point, called the dominance point, is also embedded in the same multidimensional Euclidean space. The dominance point governs the asymmetry in the proximity relationships among objects, and represents the whole one-mode two-way asymmetric proximities dealt with in the analysis. An application to car switching data is presented.
CITATION STYLE
Okada, A., & Imaizumi, T. (2007). Multidimensional scaling of asymmetric proximities with a dominance point. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 307–318). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-540-70981-7_35
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