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ActUp: Analyzing and Consolidating tSNE and UMAP. (arXiv:2305.07320v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
tSNE and UMAP are popular dimensionality reduction algorithms due to their
speed and interpretable low-dimensional embeddings. Despite their popularity,
however, little work has been done to study their full span of differences. We
theoretically and experimentally evaluate the space of parameters in both tSNE
and UMAP and observe that a single one -- the normalization -- is responsible
for switching between them. This, in turn, implies that a majority of the
algorithmic differences can be toggled without affecting the embeddings. …
algorithms arxiv dimensionality embeddings low observe popular space speed study umap work