Clustering of airport cities and cluster dynamic for the air passenger demand forecasting model based on a socio-economic scenario

@inproceedings{Terekhov2015ClusteringOA,
  title={Clustering of airport cities and cluster dynamic for the air passenger demand forecasting model based on a socio-economic scenario},
  author={Ivan Terekhov},
  year={2015}
}
This study presents methods of grouping cities into clusters by their socio-economic indicators and tracing changes in the content of cluster within a socio-economic scenario. For cities’ grouping, three main clustering approaches have been analyzed: hierarchical, exclusive and probabilistic clustering. Analyzing advantages and disadvantages of these… CONTINUE READING