Totally.
It would be great to be able to massage datasets around based on the clustering. Either breaking them into new datasets (like @weefuzzy’s example in the other thread, which would then facilitate the separate processing strands, or adding the clusters as a column which can then be matched against (though being able to apply filters to that would be good, but that’s a separate discussion).
So when you say doing step 2 “manually”, do you mean by manually setting the min/max output points of the datasets so they then exist as a subset within a larger space? Not sure I 100% follow what it would mean to do that process.