Visually driven analysis of movement data by progressive clustering

@article{Rinzivillo2008VisuallyDA,
  title={Visually driven analysis of movement data by progressive clustering},
  author={S. Rinzivillo and D. Pedreschi and M. Nanni and F. Giannotti and N. Andrienko and G. Andrienko},
  journal={Information Visualization},
  year={2008},
  volume={7},
  pages={225 - 239}
}
The paper investigates the possibilities of using clustering techniques in visual exploration and analysis of large numbers of trajectories, that is, sequences of time-stamped locations of some moving entities. [...] Key Method We suggest the procedure of progressive clustering where a simple distance function with a clear meaning is applied on each step, which leads to easily interpretable outcomes.Expand
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