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How to compare two arrays containing points to finding out the percentage of similarity?

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Suppose we've 10 arrays like below sample

Sample array

Every element of those array has two parts: the section number, time the cursor was there in second(for e.g in 3rd and 10th seconds cursor was in that section)

By the way, if they give the new array; we need to compare new one with our model and then show the similarity percentage for them to score the actions. I really have no idea should I use any clustering or classification methods and if yes how it should be for arrays(we always learned about element of an array or some vectors in university)


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