Comments (2)
anashwin
commented on July 29, 2024
Hi! If you initialize the densMAP or denSNE Python wrapper with the final_dens=True option, then the output of fit_transform will be a tuple of three numpy arrays. The first is the embedding; the second contains the log local radii of the original dataset; and the third contains the log local radii in the embedding.
You can then calculate the correlation between the second and third arrays to get that correlation.
Let me know if that helps!
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Jianlan0816
commented on July 29, 2024
Thanks so much!
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Related Issues (12)
- where is requirements.txt HOT 2
- Integration with UMAP repository HOT 2
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