|
|
Özet
RENUMBERING IN CITY WITH HIERARCHICAL CLUSTERING METHOD OF BUS STATION NUMBERS: THE CASE OF KAHRAMANMARAŞ PROVINCE
Anahtar Kelimeler
RENUMBERING IN CITY WITH HIERARCHICAL CLUSTERING METHOD OF BUS STATION NUMBERS: THE CASE OF KAHRAMANMARAŞ PROVINCE
Kaynakça
Altan, M. F., Kiziltaş, M. Ç., & Di·vri·k, S. C. (2018). Toplu Taşımada Çok lı Karar Verme ve Metropoliten Bir Alanda Servis Araçlarının Modellemesi. Karaelmas Fen ve Mühendislik Dergisi, 8(1), 99–105.
Eryilmaz, H. (2015). MOBİL ULAŞIM HİZMETLERİ BİLGİLENDİRME SİSTEMİNDE ARAYÜZ TASARIMI İNCELEMESİ. Mühendislik Bilimleri ve Tasarım Dergisi, 3(3), 475–479.
Özen, M. , Akbulut Özen, S. & Çevik, U. (2021). Vehicular and industrial sources of PGEs, Au and Ce in surface soil and roadside soils and dusts from two cities of Turkey . Sakarya University Journal of Science , 25 (2) , 484-497 . DOI: 10.16984/saufenbilder.765677
Incırcı, N. & Ekmekçi, İ. (2021). Determining the Location of The Urban Transport Interchanges Based on the Geographic Information System: the Case Study for Istanbul . Politeknik Dergisi, 24 (3) , 1121-1128 . DOI: 10.2339/politeknik.780055
Lemenkova, P. (2019). An Empirical Study of R Applications for Data Analysis in Marine Geology . Marine Science and Technology Bulletin , 8 (1) , 1-9 . DOI: 10.33714/masteb.48667
Sarıman, G. (2014). Veri Madenciliğinde Kümeleme Teknikleri Üzerine Bir Çalışma: K-Means ve K-Medoids Kümeleme Algoritmalarının Karşılaştırılması. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi , 15 (3) , 192-202 .
Ecer, B. & Aktaş, A. (2019). Clustering of European Countries in terms of Healthcare Indicators . International Journal of Computational and Experimental Science and Engineering , 5 (1) , 23-26 . DOI: 10.22399/ijcesen.416611
Kaya, Y. , Avci, D. & Gedikpınar, M. (2019). Comparing of K-Means, K-Medodis and Fuzzy C Means Cluster Method for Analog Modulation Recognition . Balkan Journal of Electrical and Computer Engineering , 7 (3) , 294-299 . DOI: 10.17694/bajece.564960
Rokach L., Maimon O. (2005) Clustering Methods. In: Maimon O., Rokach L. (eds) Data Mining and Knowledge Discovery Handbook. Springer, Boston, MA. https://doi.org/10.1007/0-387-25465-X_15
Omran, M. G., Engelbrecht, A. P., & Salman, A. (2007). An overview of clustering methods. Intelligent Data Analysis, 11(6), 583-605.
Murtagh, F., & Contreras, P. (2012). Algorithms for hierarchical clustering: an overview. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2(1), 86-97.
Nielsen, F. (2016). Hierarchical clustering. In Introduction to HPC with MPI for Data Science (pp. 195-211). Springer, Cham.
Reynolds, A. P., Richards, G., de la Iglesia, B., & Rayward-Smith, V. J. (2006). Clustering rules: a comparison of partitioning and hierarchical clustering algorithms. Journal of Mathematical Modelling and Algorithms, 5(4), 475-504.
Bien, J., & Tibshirani, R. (2011). Hierarchical clustering with prototypes via minimax linkage. Journal of the American Statistical Association, 106(495), 1075-1084.
|
|
