Speed comparison with dimensionality reduction and fluid.kdtree~

Early morning tests not promising.

I decided to go balls out and smash everything down to 2d (via fluid.pca~) and try matching based on that.

I also used your pipeline of [data] -> fluid.standardize~ -> fluid.pca~ -> fluid.normalize~.

Pre PCA I was getting around 67% accuracy. With a 2d version of the same data I get around 25% accuracy… (plus some new error messages to boot)

I’ll try some milder reduction to see how that fares, but in this context, that much smashing is definitely “lossy”.