Abstract
In this paper, we consider detecting unidimensional structure that may be involved in a matrix representing asymmetric relationships among a set of objects. For this purpose, we focus on the procedure of asymmmetric MDS based on a model and the two procedures based on matrix decomposition. With a brief review for each procedure, we state conditions or theorems under which such a structure is derived from the data matrix. Using brand switching data, we provide illustrative examples for the arguments.
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© 2000 Springer-Verlag Berlin · Heidelberg
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Saito, T. (2000). Unidimensional Structure Detected by Analysis of an Asymmetric Data Matrix. In: Gaul, W., Opitz, O., Schader, M. (eds) Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58250-9_28
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DOI: https://doi.org/10.1007/978-3-642-58250-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67731-4
Online ISBN: 978-3-642-58250-9
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