Submitted by zanzagaes2 t3_10xt36j in MachineLearning
schludy t1_j7v11vj wrote
Reply to comment by zanzagaes2 in [P] Creating an embedding from a CNN by zanzagaes2
The individual steps sound ok, however, if you project 20.000 to 2D, the results you got look very reasonable. I'm not sure about UMAP, but I think for tSNE, it's recommended to have low dimensionality, something more in the order of 32 features. I would probably try to adjust the architecture, as other comments have suggested
zanzagaes2 OP t1_j7vpols wrote
You are right, both tSNE and UMAP documentation recommend going to 30-50 features before using them. In this case the result is quite similar to the one I found, though.
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