IDEAS home Printed from https://ideas.repec.org/a/vrs/foeste/v20y2020i1p319-340n19.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.Purpose: The article is inspired by the Reviewers of the author’s previous publications on this subject and will be a summary of research to date which has followed two paths. On one hand, they recognize ways of measuring cluster stability proposed in the literature (e.g. Rozmus, 2017). On the other, they use these measures to cluster Poland among the EU members in terms of sustainable development level (e.g. Rozmus, 2019).Research methodology: The literature proposes a number of different ways for measuring stability. Theoretical considerations have also led to the development of computer tools for the practical implementation of the proposed ways to study stability. The practical tools are available within several R packages, e.g.: clv, clValid, fpc, which are used in this researchResults: The results, however, showed that different measures of stability lead to different results.Novelty: The innovation of this approach is the use of stability measures to such a problem (i.e. clustering EU members in terms of the sustainable development level). In addition, the article will report a synthesis and comparative analysis of the results obtained using various stability measures.

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/foli-2020-0019
    Download Restriction: no
    File URL: https://libkey.io/10.2478/foli-2020-0019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han Yu & Brian Chapman & Arianna Di Florio & Ellen Eischen & David Gotz & Mathews Jacob & Rachael Hageman Blair, 2019. "Bootstrapping estimates of stability for clusters, observations and model selection," Computational Statistics, Springer, vol. 34(1), pages 349-372, March.
    2. Jonas M. B. Haslbeck & Dirk U. Wulff, 2020. "Estimating the number of clusters via a corrected clustering instability," Computational Statistics, Springer, vol. 35(4), pages 1879-1894, December.
    3. Peter Radchenko & Gourab Mukherjee, 2017. "Convex clustering via l 1 fusion penalization," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1527-1546, November.
    4. Vincent Audigier & Ndèye Niang, 2023. "Clustering with missing data: which equivalent for Rubin’s rules?," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(3), pages 623-657, September.
    5. Patrick Zschech & Kai Heinrich & Raphael Bink & Janis S. Neufeld, 2019. "Prognostic Model Development with Missing Labels," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 327-343, June.
    6. Niembro, Andrés & Calá, Carla Daniela, 2024. "Regional structural change in Argentina (1996-2019): Concepts, measurements and unequal trajectories over the business cycle," Nülan. Deposited Documents 4106, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    7. Yujia Li & Xiangrui Zeng & Chien‐Wei Lin & George C. Tseng, 2022. "Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis," Biometrics, The International Biometric Society, vol. 78(2), pages 574-585, June.
    8. Gainbi Park & Zengwang Xu, 2022. "The constituent components and local indicator variables of social vulnerability index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 95-120, January.
    9. Michael Fritsch & Pamela Mueller, 2008. "The effect of new business formation on regional development over time: the case of Germany," Small Business Economics, Springer, vol. 30(1), pages 15-29, January.
    10. Javier Changoluisa & Michael Fritsch, 2020. "New Business Formation and Incumbents’ Perception of Competitive Pressure," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 165-197, February.
    11. Anna Lejpras & Andreas Stephan, 2011. "Locational conditions, cooperation, and innovativeness: evidence from research and company spin-offs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 543-575, June.
    12. Ana Alina Tudoran, 2022. "A machine learning approach to identifying decision-making styles for managing customer relationships," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 351-374, March.
    13. Wu, Han-Ming, 2011. "On biological validity indices for soft clustering algorithms for gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1969-1979, May.
    14. Niembro, Andrés & Calá, Carla Daniela, 2022. "Asimetrías provinciales en la Argentina del siglo XXI: ¿cómo se relacionan el desarrollo desigual y las disparidades en ciencia, tecnología e innovación?," Nülan. Deposited Documents 3735, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    15. Mao, Xianpeng & Yang, Yuning, 2022. "Best sparse rank-1 approximation to higher-order tensors via a truncated exponential induced regularizer," Applied Mathematics and Computation, Elsevier, vol. 433(C).
    16. Michael Wyrwich & Michael Stuetzer & Rolf Sternberg, 2016. "Entrepreneurial role models, fear of failure, and institutional approval of entrepreneurship: a tale of two regions," Small Business Economics, Springer, vol. 46(3), pages 467-492, March.
    17. Drago, Carlo & Fortuna, Fabio, 2023. "Investigating the Corporate Governance and Sustainability Relationship: A Bibliometric Analysis Using Keyword-Ensemble Community Detection," FEEM Working Papers 336985, Fondazione Eni Enrico Mattei (FEEM).
    18. Wu, Tong & Rocha, Juan C. & Berry, Kevin & Chaigneau, Tomas & Hamann, Maike & Lindkvist, Emilie & Qiu, Jiangxiao & Schill, Caroline & Shepon, Alon & Crépin, Anne-Sophie & Folke, Carl, 2024. "Triple Bottom Line or Trilemma? Global Tradeoffs Between Prosperity, Inequality, and the Environment," World Development, Elsevier, vol. 178(C).
    19. Michael Fritsch & Florian Noseleit, 2009. "Start-ups, Long- and Short-Term Survivors and their Effect on Regional Employment Growth," Jena Economics Research Papers 2009-081, Friedrich-Schiller-University Jena.
    20. Titov Sergei & Trachuk Arkady & Linder Natalya & RD Pathak & Danny Samson & Zafar Husain & S Sushil, 2023. "Digital transformation enablers in high-tech and low-tech companies: A comparative analysis," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 801-843, November.

    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

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:foeste:v:20:y:2020:i:1:p:319-340:n:19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.