1. Alla Petrakova & Steve Mussmann
5th Progress Report
Alla Petrakova & Steve Mussmann

2. DivCluST 2012 algorithm. 2 steps:
-Shorten trajectories while keeping spatio- temporal structure
-Cluster segments of shorter trajectories
Similar in form to TraClus but uses speed in addition to spatial information.

3. Hurricane

4. Trucks

5. Starkey

6. Learning trajectory patterns by clustering
-2009 paper.
-Mix and match trajectory similarity measures and clustering techniques.
-"The choice of clustering method
and distance measure was not important... though LCSS was consistently
a top performer"
-Implemented LCSS and modified Hausdorff with agglomerative clustering.

7. Hurricane Modified Hausdorff

8. Hurricane LCSS

9. Trucks Modified Hausdorff

10. Trucks LCSS

11. Intersection Modified Hausdorff

12. Intersection LCSS

13. Robust online trajectory clustering
-2012 Paper
-View clusters as direction fields (unit vector fields).
-Incrementally add trajectories and merge clusters

14. Hurricane

15. Trucks

16. Intersection

17. Clustering of Vehicle Trajectories
paper (26 citations)
- Proposes a twist on modified Hausdorff difference distance measure
- Compares results against LCSS and DTW using Agglomerative and Spectral clustering

18. Vehicle Motion - Agglomerative DTW

19. Vehicle Motion - mod Hausdorff

20. Vehicle Motion - LCSS

21. Hurricane Dataset - Agglomerative DTW

22. Hurricane Dataset - Agglomerative LCSS

23. Trucks Dataset - DTW