But by this, do you mean “listening” or whatever? Like a subjective measure of effectiveness, or is it getting x amount of clusters, or something numerical/“concrete” like that.
I’ve been wondering about this too, to see if/how DR stuff works on time series of events (based on all the recent AudioGuide discussions). Like, if instead of putting a statistical summary into a fluid.dataset~ and then reducing that down to x amount of dimension, putting every frame of the analysis into a fluid.dataset~, and seeing if it can/does somehow summarize change-over-time-ness, as a way of getting better morphological matches (in a kdtree context).