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Point to python code for synthetic hierarchical dataset.
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jlmelville committed Jan 12, 2025
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Expand Up @@ -376,8 +376,9 @@ clusters,” and each of the meso subclusters has 5 “micro clusters.” Thus,
are 5x5x5 = 125 micro clusters total. We colored each point based on its true
macro clusters, shading each meso cluster.". Get all of that? There's more
detail in Appendix B of the paper and I think I was able to turn that into some
Python that probably generated the correct data. I think it's correct. I will
find somewhere to upload this code eventually.
Python that probably generated the correct data. I think it's correct. For more
details see <https://github.com/jlmelville/drnb/blob/master/notebooks/data-pipeline/synthetic-hierarchical.ipynb>.
I have not yet summoned the enthusiasm to come up with a pure R version.

| UMAP | t-SNE |
:----------------------------:|:--------------------------:
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