Submitted by olmec-akeru t3_z6p4yv in MachineLearning
koiRitwikHai t1_iy48qvn wrote
Reply to comment by Deep-Station-1746 in [D] What method is state of the art dimensionality reduction by olmec-akeru
can you tell us what are the assumptions for PCA, tsne, VAE and Umap?
SleekEagle t1_iy4k5m4 wrote
It's been a while since I looked at tsne and umap but the assumption for PCA is that the data lives near an affine subspace and for VAE that the data is well modeled by the distribution whose parameters you are finding. My thoughts but I'm sure there's other considerations that I'd love to hear other people chime in with!
manojs t1_iy4jrt6 wrote
If an expert on the topic can respond to this, that would be awesome.
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