Let me rephrase this to make it clearer:

> Indeed, but they use random projections rather than LSH.

It is my understanding that Annoy implements ANN hashing by using a
data-driven forests of Random Projections rather than (data
independent) uniformly distributed RPs to bucket the samples as
vanilla LSH does.

Both LSH and Annoy-Tree-LSH are hashing schemes, but Annoy is focusing
on high density
regions of the dataset, hence problem more efficient.


-- 
Olivier

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