1. Steve Mussmann & Alla Petrakova
Week 6 Presentation
Steve Mussmann & Alla Petrakova

2. DivCluST
-Full Results on all datasets with meaningful time

3. Hurricane

4. Trucks

5. Buffalo

6. Starkey (Deer & Elk)

7. Vector Field K-means -Iterative Algorithm
-Initialize k-partition of trajectories
-Repeat:
-Use trajectory directions from each partition
to make k vector fields
-Form k-partition of trajectories by assigning
each to a vector field

8. Hurricane

9. Trucks

10. Intersection

11. Hawks

12. Buffalo

13. Deer

14. Elk

15. T-pattern Miner
-Use trajectory density to form rectangular regions of different sizes
-Encode trajectories as sequences of regions
-Find frequent subsequences to be motion patterns

16. Hurricanes

17. Trucks

18. Intersection

19. Buffalo

20. Hurricane Dataset Ground Truth & Test Results

21. June TRACLUS

22. June DTW+Agglomerative Average

23. June - DTW+Agglomerative Complete

24. June - MP

25. July TRACLUS

26. July DTW+Agglomerative Average

27. July DTW+Agglomerative Complete

28. July MP

29. August TRACLUS

30. August DTW+Agglomerative Average

31. August DTW+Agglomerative Complete

32. August MP

33. September TRACLUS

34. September DTW+Agglomerative Average

35. September DTW+Agglomerative Complete

36. September MP

37. October TRACLUS

38. October DTW+Agglomerative Average

39. October DTW+Agglomerative Complete

40. October MP

41. November TRACLUS

42. November DTW+Agglomerative Average

43. November DTW+Agglomerative Complete

44. November MP