Partitioning with KMeans
Earlier I was using KMeans to get discrete locations from continuous 3D points. Dropped the idea as this is going to bias the results. Basically, if I have used KMeans instead of a uniform grid and then I do a test on an unseen sample, the sample is not really unseen as the entire dataset was used to do the discretization.
Here are the points in each location.

Here are the walks going through each location.
Note that in both cased K was set to 1000.
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