Economy level and freight model utilizing quick K-means cluster method

The cluster analysis for the industry production level and the freight volume of different regions in China were performed using the quick K-means cluster method to gain the classification in the cluster membership. A further regression analysis for the sectional classification data was made based on the classification data in the cluster membership of different provinces and cities in China. Five clusters were achieved using the logarithms of the industry product level and the freight volume as 2 cluster factors. The model for the quantitative relations between the growth rates of the regional economical level and the regional freight volume was established through the combined qualitative and quantitative analyses. The correlation coefficient of this model ranges from 0.901 to 0.982 indicating its superior internal consistency and high confidence level.