Clustering of the Italian Regions Based on Their Equitable and Sustainable Well-Being Indicators: A Three-Way Approach

Author:

Bocci LauraORCID,D’Urso Pierpaolo,Vitale Vincenzina

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Sociology and Political Science,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Reference27 articles.

1. Annoni, P., & Kozovska, K. (2019). The EU regional competitiveness index 2019. Directorate-General for Regional and Urban Policy. Luxembourg: Publications Office of the European Union.

2. Bocci, L., & Vicari, D. (2019). Rootclus: Searching for “root clusters” in three-way proximity data. Psychometrika, 84(4), 941–985.

3. Burchi, F., & Gnesi, C. (2016). A review of the literature on well-being in Italy: A human development perspective. In Forum for social economics (Vol. 45, pp. 170–192). Taylor & Francis.

4. Caiado, J., Maharaj, E. A., & D’Urso, P. (2016). Time series clustering. In C. Hennig, M. Meila, F. Murtagh, & R. Rocci (Eds.), Handbook of cluster analysis (pp. 241–263). London: Chapman & Hall.

5. Dasgupta, P., & Weale, M. (1992). On measuring the quality of life. World Development, 20(1), 119–131.

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