Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean distance measures. We argue that when the utility of spatial clustering of

Data mining is the process of extracting potentially useful information from a data set. Clustering is a popular data mining technique which is intended to help the user discover and understand the structure or grouping of the data in the set accord