yaodi833 / trajectory2vec Goto Github PK
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code for "Trajectory clustering via deep representation learning"
Hi,
thanks for the amazing implementation. I had one question, what does the simulated trajectories denote here? I can see 3 features in each of the trajectories in sim_trajectories, what do these represent, I have a dataset containing latitude, longitude and timestamp and want to use this algorithm for that.
Can you please let me know about what do those 3 features represent(assuming they are timestamp,x,y), also what changes do I need to make to use this for GPS data, so that I can use it, any help is appreciated :)
hello,could you please tell me where can I get the data set?
Hi,
In the paper, you mentioned that one must choose offset to be half the window size for optimal results, but could you please suggest how do I choose the window size, I see you select 600 for the synthetic data, any guidelines on how we can set this parameter?
Hi Di Yao!
Many thanks for your codes.
Here is a question on the codes. The output of the clustering is the cluster of the moving behavior vector set. How do you get the clusters of the trajectories, like in the shape [[time1, lon1, lat1], [time2, lon2, lat2], ...]?
Thanks in advance. Cheers!
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