Periodic Data with Machine Learning (Like Degree Angles -> 179 is 2 different from -179)

Question

I\'m using Python for kernel density estimations and gaussian mixture models to rank likelihood of samples of multidimensional data. Every piece of data is an angle, and I\'m no

Answer 1

Another simpler way could be to use time as angle measurements than degree measurements (not DMS though). Since many analytics software features time as a datatype, you can use its periodicity to do your job.

But remember, you need to scale 360 degrees to 24 hours.