Submitted by olmec-akeru t3_z6p4yv in MachineLearning
brucebay t1_iy53ib4 wrote
Reply to comment by IntelligenXia in [D] What method is state of the art dimensionality reduction by olmec-akeru
One neat feature with UMAP is you can map the new data to the same space later. None of the algorithms in Scikit does that if I remember correctly.
The problem with umap is you can not give your custom distance metric in the original space, and request UMAP to preserve proximity of original points.
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