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Is there a way to compare two vectors that do not follow any ordering semantics among its elements, by using any ML algorithm?

Example - Compare (1,3,5) vs (9,7,5) and arrive at some result, and then use that result to check how close/far away they are. And then, when I see (2,6,4), determine whether it is closer to (1,3,5) or to (9,7,5) in terms of any similarity notion taking into account each element?

While I can use my own custom algorithms, I am trying to check if there's any known, standard or established ML algorithm for this kind of use case.

Thanks

molbdnilo
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Naga Vijayapuram
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1 Answers1

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Found the answer - cosine similarity

Naga Vijayapuram
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