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The original was posted on /r/machinelearning by /u/JakeStBu on 2024-04-03 12:47:01.

Hi all, I’ve been working on a little project which I would like some completely honest feedback on. KNN can be an incredibly powerful algorithm, but unfortunately, it can also be incredibly inefficient and can be very resource intensive to run. I’ve been working on a project which according to some basic testing, has shown to be on average about 20% faster than normal KNN, with little to no quality decrease. You can check out the github repo here:

I’ve also written a mini-paper for it, which is linked on the repo. Sorry if the code’s a little messy, but beside that, I’d really love your completely honest feedback (which I know Reddit is great at). Thanks in advance!