[Batóg, B. & Wawrzyniak, K. (2010). Models With Varying Parameters as a Tool to Classify Polish Voivodships in 2002-2008. Folia Oeconomica Stetinensia, 9 (1), 139-150.10.2478/v10031-010-0003-9]Search in Google Scholar
[Caliński, T. & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics, 3 (1), 1-27.]Search in Google Scholar
[Duda, R.O., Hart, P.E. & Stork, D.B. (2001). Pattern Classification and Scene Analysis (2nd ed.). New York: Wiley. ]Search in Google Scholar
[Eco-innovation indicators (2006). Copenhagen: European Environment Agency.]Search in Google Scholar
[Eurostat (2012). Data retrieved May 1, 2012, http://epp.eurostat.ec.europa.eu.]Search in Google Scholar
[Frenz, M. & Lambert, R. (2008). Innovation modes and productivity in the UK. Report to the Science, Innovation and Analysis Unit. DIUS Research Report, 8 (12), Department for Innovation, Universities and Skills.]Search in Google Scholar
[Gabriel, K.R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58 (3), 453-467.10.1093/biomet/58.3.453]Search in Google Scholar
[Gabriel, K.R. (2002). Goodness of fit of biplots and correspondence analysis. Biometrika 89, 423-436.10.1093/biomet/89.2.423]Search in Google Scholar
[Gatnar, E. (2002). Tree-based models in statistics. In: Eds. K. Jajuga, A. Sokołowski, H.H. Bock. Classification, Clustering and Data Analysis (pp. 399-408). Berlin: Springer.]Search in Google Scholar
[Jajuga, K., Walesiak, M. & Bąk, A. (2003). On the general distance measure. In: Eds. M. Schwaiger, O. Opitz. Exploratory data analysis in empirical research (pp. 104-109). Berlin-Heidelberg: Springer-Verlag.]Search in Google Scholar
[Walesiak, M. & Dudek, A. (2007). ClusterSim: Searching for optimal clustering procedure for a data set, www.R-project.org. R package version 0.30-7.]Search in Google Scholar
[Milligan, G. & Cooper, M. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50 (2), 159-179.10.1007/BF02294245]Search in Google Scholar
[OECD, Eurostat - Statistical Office of the European Communities (2005). Oslo Manual: Guidelines for Collecting and Interpreting Innovation Data, 3rd Edition, The Measurement of Scientific and Technological Activities. Paris/Luxembourg: OECD Publishing.10.1787/9789264013100-en]Search in Google Scholar
[OECD (2008). OECD Framework for Effective and Efficient Environmental Policies. Retrieved May 1, 2012, www.oecd.org/dataoecd/39/19/41644480.pdf.]Search in Google Scholar
[OECD (2011a). Better Policies to Support Eco-innovation, OECD Studies on Environmental Innovation. Paris: OECD Publishing.]Search in Google Scholar
[OECD (2011b). Towards Green Growth. OECD Green Growth Studies. Paris: OECD Publishing.]Search in Google Scholar
[Rozkrut, M. (2006). Application of Correspondence Analysis and Other Methods to Research on Economic Development in Poland. Folia Oeconomica Stetinensia, 5, 143-153. ]Search in Google Scholar
