Türkiye’deki İllerin Ulaştırma Göstergelerine Göre Kümeleme Analizi Yöntemleriyle Sınıflandırılması
Classification of Provinces in Turkey by Clustering Analysis Methods According to Transport Indicators

Summary/Abstract: In this study, constituting the transport indicators provinces in Turkey between the 2004-2018 year data set of 40 variables using cluster analysis methods were applied. Euclidean distance and Min-Max standardization measures were used to ensure the suitability of the data set used in the analysis. In the study, considering 40 variables constitute the transportation indicators available in Turkey 81 Province cluster is intended to reveal the structure. The single-connection method was accepted as the most successful method among the hierarchical methods used, due to the high value of the cophenetic correlation coefficient, and its results were evaluated. In addition, the analysis and interpretation of the results of the k-means method, which is one of the non-hierarchical methods, is included. The number of clusters was determined as five with the help of cluster validity indexes. Finally, it is seen that there are more distinct differences in transportation indicators in provinces with large city centers compared to other provinces.

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