Three-Way Clustering Problems in Regional Science (original) (raw)

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Abstract

Three-way clustering problems have been considered since many years. They are popular specially in psychology and chemistry, but some of the propositions and methods are of more general nature. In regional science three-way data matrices consist of objects (regions), variables and time units (years). Asking which variables, in which regions and when, follow homogeneous pattern is meaningful. Three general approaches are proposed in the paper and different modes of standardization are discussed. The example on Eurostat data is also presented.

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Acknowledgements

The paper was prepared within the project financed by the Polish National Centre for Science, decision DEC-2013/09/B/HS4/0509.

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Authors and Affiliations

Wroclaw University of Economics, Wroclaw, Poland
Małgorzata Markowska & Danuta Strahl
Cracow University of Economics, Cracow, Poland
Andrzej Sokołowski

Authors

Małgorzata Markowska
Andrzej Sokołowski
Danuta Strahl

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Correspondence toMałgorzata Markowska .

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Editors and Affiliations

Jacobs University Bremen , Bremen, Germany
Adalbert F.X. Wilhelm
Universität Ulm, Institute of Medical Systems Biology Universität Ulm, Ulm, Baden-Württemberg, Germany
Hans A. Kestler

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Markowska, M., Sokołowski, A., Strahl, D. (2016). Three-Way Clustering Problems in Regional Science. In: Wilhelm, A., Kestler, H. (eds) Analysis of Large and Complex Data. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-25226-1\_46

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DOI: https://doi.org/10.1007/978-3-319-25226-1\_46
Published: 04 August 2016
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25224-7
Online ISBN: 978-3-319-25226-1
eBook Packages: Mathematics and Statistics Mathematics and Statistics (R0)Springer Nature Proceedings excluding Computer Science

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