Have a personal or library account? Click to login

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

Open Access
|Aug 2020

References

  1. Ben-Hur, A., Guyon, I. (2003). Detecting stable clusters using principal component analysis. Methods in Molecular Biology. 224, 59–182.10.1385/1-59259-364-X:159
  2. Borys, T. (ed.) (2005). Wskaźniki zrównoważonego rozwoju. Warszawa–Białystok: Wydawnictwo Ekonomia i Środowisko..
  3. Borys, T. (2014). Wybrane problemy metodologii pomiaru nowego paradygmatu rozwoju – polskie doświadczenia. Optimum. Studia Ekonomiczne, 3 (69), 3–21.10.15290/ose.2014.03.69.01
  4. Brock, G., Pihur, V., Datta, S., Datta, S. (2008). clValid: an R package for cluster validation. Journal of Statistical Software, 25 (4). Retrieved from: http://www.jstatsoft.org/v25/i04.
  5. Fang, Y., Wang, J. (2012). Selection of the number of clusters via the bootstrap method. Computational Statistics and Data Analysis, 56, 468–477.10.1016/j.csda.2011.09.003
  6. Henning, C. (2007). Cluster-wise assessment of cluster stability. Computational Statistics and Data Analysis, 52, 258–271.10.1016/j.csda.2006.11.025
  7. Lord, E., Willems, M., Lapointe, F.J., Makarenkov, V. (2017). Using the stability of objects to determine the number of clusters in datasets. Information Sciences, 393, 29–46.10.1016/j.ins.2017.02.010
  8. Lorek, E. (2011). Ekonomia zrównoważonego rozwoju w badaniach polskich i niemieckich. Studia Ekonomiczne, Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, 90, 103–112.
  9. Kronthaler, F. (2005). Economic capability of East German regions: Results of a cluster analysis. Regional Studies, 39 (6): 739–750.
  10. Marino, V., Presti, L.L. (2019). Stay in touch! New insights into end-user attitudes towards engagement platforms. Journal of Consumer Marketing, 36, 772–783.10.1108/JCM-05-2018-2692
  11. Repkine, A. (2012). How similar are the east asian economies? A cluster analysis perspective on economic cooperation in the region. Journal of International and Area Studies, 19 (1), 27–44.
  12. Rozmus, D. (2017). Using R packages for comparison of cluster stability. Acta Universitatis Lodziensis Folia Oeconomica, 330 (4), 77–86.10.18778/0208-6018.330.05
  13. Rozmus, D. (2019). Poziom zrównoważonego rozwoju w Polsce i krajach UE – analiza z zastosowaniem miar stabilności grupowania. Przegląd Statystyczny, LXVI (1), 84–93.10.5604/01.3001.0013.8375
  14. Shamir, O., Tishby, N. (2008). Cluster stability for finite samples. Advances in Neural Information Processing Systems, 20, 1297–1304.
  15. Shubat, O., Bagirova, A, Makhabat, A., Ivlev, A. (2016). The use of cluster analysis for demographic policy development: evidence from Russia (pp. 159–165). 30th European Conference on Modelling and Simulation.10.7148/2016-0159
  16. Simpach, O. (2013). Application of cluster analysis on the demographic development of municipalities in the districts of liberecky region (pp. 1390–1399). Conference Proceedings of the 7th International Days of Statistics and Economics.
  17. Suzuki, R., Shimodaira, H. (2006). Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics, 22 (12), 1540–1542.10.1093/bioinformatics/btl117
  18. Volkovich, Z., Barzily, Z., Toledano-Kitai, D., Avros, R. (2010). The Hotteling’s metric as a cluster stability index. Computer Modelling and New Technologies, 14 (4), 65–72.
  19. Wang, J. (2010). Consistent selection of the number of clusters via cross-validation. Biometrika, 97, 893–904.10.1093/biomet/asq061
DOI: https://doi.org/10.2478/foli-2020-0019 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 319 - 340
Submitted on: Oct 21, 2019
Accepted on: Mar 21, 2020
Published on: Aug 20, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2020 Dorota Rozmus, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.