Max: a sort of illustration of using scaling to 'weigh' distance in kdtree searches

Not 100% as to what I’m supposed to be looking at, and get a few dict.unpack errors, and an occasional fluid.kdtree~ error (’DatSet is smaller than k), but I really like the use of nodes for visualization.

Had a cool chat with @tedmoore last week about ways to improve or think about my predictive analysis stuff and at the center of that was visualizing the data to see what may be possible in terms of differentiating these sounds. So definitely itching for a low impact way of visualizing datasets without having to build a ton of plumbing each time.