![]() ![]() A hypothesis of the dimensional organization of the city construct. Procedia Economics and Finance, 10, 314-323. Growth modelling of metropolitan performance indicators: an application by means of R software. Finding groups in data: an introduction to cluster analysis, New York: John Wiley & Sons. Proceedings of the National Academy of Sciences, 100(14), 8062 LP-8067. Long-term trends and a sustainability transition. Competitiveness of global cities from the perspective of the global power city index. ![]() Ichikawa, H., Yamato, N., & Dustan, P.An integrative model of tourists’ information search behavior. Journal of Quantitative Criminology, 22(1), 77-105. On the application of fuzzy clustering for crime hot spot detection. (2017) Institute for urban strategies, the Mori Memorial Foundation. Smart cities ranking: an effective instrument for the positioning of the cities? ACE: Architecture, City and Environment, 4(12), 7-26. ![]() A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Subjective assessments of neighborhood quality by size of place. International Journal of Business and Management, 11(1), 85-89. The research on the factors analysis of platform economy city: a case study of Shanghai. Proceedings of the National Academy of Sciences, 104(17), 7301 LP-7306. Growth, innovation, scaling, and the pace of life in cities. A., Lobo, J., Helbing, D., Kühnert, C., & West, G. Journal of Economic Integration, 17(1), 54-79. Membership of EMU: a fuzzy clustering analysis of alternative criteria. Expert Systems with Applications, 18(3), 185-199. The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |