is there a way to do similarity hashing/seeking on a very sparse vector(100/20k)? hm maybe using some hirarchical clustering? // cc @sbelak
@refaktor x-tree. Some sort of autoencoder. Dimensionality reduction (PCA, tsne) + kMeans. DBSCAN. Agglomerative clustering.
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@sbelak tnx, will google fwd ... what is "x-tree", I'm not finding that one? - End of conversation
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