Abstract
In recent years, it is possible to more easily obtain multi-way data, and various analysis models for the data have been suggested by several researchers. However, only small number of studies have been done on the one-mode multi-way data analysis model. The authors suggested an overlapping cluster analysis model for one-mode three-way similarity data in our earlier study. In the present study, the authors make an attempt to improve the one of problems of the algorithm and validate the improved algorithm by analyzing the one-mode three-way similarity data which calculated from the panel data of meals. Then, the one-mode three-way result is compared with the results with the one-mode two-way similarity data analysis to show the usefulness of the one-mode three-way similarity data analysis. © Springer-Verlag Berlin Heidelberg 2010.
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CITATION STYLE
Yokoyama, S., Nakayama, A., & Okada, A. (2010). An application of one-mode three-way overlapping cluster analysis. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 193–200). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-10745-0_20
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