A Weighted Combination Similarity Measure for Mobility Patterns in Wireless Networks
The similarity between trajectory patterns in clustering has played an important role in discovering movement behaviour of different groups of mobile objects. Several approaches have been proposed to measure the similarity between sequences in trajectory data. Most of these measures are based on Euclidean space or on spatial network and some of them have been concerned with temporal aspect or ordering types. However, the authors are not appropriate to characteristics of spatiotemporal mobility patterns in wireless networks. In this paper, they propose a new similarity measure for mobility patterns in cellular space of wireless network.