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Hi,
I was wondering if you are aware of a quick way of finding the most similar constellation from a set. I guess it's like a pointcloud matching but maybe there is something done that already takes shifting into account.
Thanks,
Juan
The text was updated successfully, but these errors were encountered:
In statistics, there exist multiple concepts for computing pairwise comparisons between samples. For example, you can search the notions of metric, divergence, or similarity measure. Let's assume you have a constellation map (or audio fingerprint) and you want to determine which sample of a set is the "most similar" to . Then, computing could be a simple solution for your problem if we consider as our statistical function of "similarity".
It is worth mentioning that this is not a trivial task, since there is vast literature about this concern. Also, the selection of such a statistical function and its implementation depends on what your project is.
Hi,
I was wondering if you are aware of a quick way of finding the most similar constellation from a set. I guess it's like a pointcloud matching but maybe there is something done that already takes shifting into account.
Thanks,
Juan
The text was updated successfully, but these errors were encountered: