Creating sample data from existing data - Algorithm?

I again encountered the problem that I needed. I have tracking data, that is, I tracked how I cycled a couple of times on the same track to get some test data. So, I have a couple of time. I want even more different ones, but I want to generate them. I want virtual test drivers to be faster and slower. I do not want this to be a linear summation algorithm.

Basically, I just need a hint that I could find. Can anyone help?

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3 answers

Try multiplying each data point time value by a constant. If it is less than one, you will create a faster test disk, and if there will be more than one, you will have a slower test disk. You can also stroke the position if you wish.

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You can check Markov Chains to generate random data, although it depends on how complex you want your distribution to be. For a simpler approach, Reed Copsey will be easier to implement.

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Source: https://habr.com/ru/post/1716010/


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