Fun! For reasons related to my username, I am about to dip back into the current state-of-the-art algos for highly dimensional data.

I need to dig deep into highly optimized and perhaps distributed algorithms in this space - gotta deal with billions of high dimensionality items. The end result is probably going to be almost a survey from standard distance-based algos like hierarchical clustering headed into louvain methods. Anything "special" or maybe uncommon you like for this type of thing?

Impressive, thank you for sharing!