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Clustering Poland Among Eu Countries in Terms of a Sustainable Development Level in the Light of Various Cluster Stability Measures

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  • Rozmus Dorota

    (University of Economics in Katowice, College of Finance, Department of Economic and Financial Analysis, 1 Maja 50, 40-287Katowice, Poland)

Abstract

Research background: Recently in the context of taxonomy methods a lot of attention has been paid to the issue of stability of these methods, i.e. the answer to the question: do the groups that were created as a result of clustering really occur (the structure is stable), or did they appear accidentally.

Suggested Citation

  • Rozmus Dorota, 2020. "Clustering Poland Among Eu Countries in Terms of a Sustainable Development Level in the Light of Various Cluster Stability Measures," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 319-340, June.
    • Handle: RePEc:vrs:foeste:v:20:y:2020:i:1:p:319-340:n:19
    DOI: 10.2478/foli-2020-0019
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    References listed on IDEAS

    as
    1. Franz Kronthaler, 2005. "Economic capability of East German regions: Results of a cluster analysis," Regional Studies, Taylor & Francis Journals, vol. 39(6), pages 739-750.
    2. Brock, Guy & Pihur, Vasyl & Datta, Susmita & Datta, Somnath, 2008. "clValid: An R Package for Cluster Validation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i04).
    3. Fang, Yixin & Wang, Junhui, 2012. "Selection of the number of clusters via the bootstrap method," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 468-477.
    4. Junhui Wang, 2010. "Consistent selection of the number of clusters via crossvalidation," Biometrika, Biometrika Trust, vol. 97(4), pages 893-904.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    clustering; taxonomy; stability; sustainable development;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    Statistics

    Access and download statistics

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