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IntelligenXia t1_iy3wjh4 wrote

UMAP !

https://umap-learn.readthedocs.io/en/latest/

As simple as

mapper2 = umap.UMAP().fit(data)
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daking999 t1_iy4innd wrote

Good for visualization maybe? Not good for further downstream analysis.

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RetroPenguin_ t1_iy4mjz5 wrote

Yeah, can't be a preprocessing step for clustering etc. But nice for qualitative visualizations, I suppose.

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brucebay t1_iy53ib4 wrote

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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