Review and Perspective for Distance Based Trajectory Clustering

Besse, Philippe, Guillouet, Brendan, Loubes, Jean-Michel, François, Royer

arXiv.org Machine Learning 

TRAJECTORY is a set of positional information for a moving object, ordered by time. This kind of multidimensional data is prevalent in many fields and applications, for example, to understand migration patterns by studying trajectories of animals, predict meteorology with hurricane data, improve athletes performance, etc. Our study is concentrated on vehicle trajectories within a road network. The growing use of GPS receivers and WIFI embedded mobile devices equipped with hardware for storing data enables us to collect a very large amount of data, that has to be analyzed in order to extract any relevant information. The complexity of the extracted data makes it a difficult challenge.

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