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It captures more of the spatial (metric topological) arrangement in the set. Example they give in the paper is the MINST dataset where distinctly looking digits like 1 and 0 get separated farther apart and similar ones clump together, whereas t-SNE while correctly delimiting individual clusters clumps them all in a blob.


Cool. Thanks.




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