Comments (5)
dillondaudert
commented on May 22, 2024
This is possible, and already supported in the Python umap; implementing it in UMAP.jl should be relatively straightforward. I'll try to get to it in the next week or so.
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robertfeldt
commented on May 22, 2024
Thanks, appreciated.
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dillondaudert
commented on May 22, 2024
I still need to add documentation, but you can test this out on the dist_matrix branch. The API is the same, just pass in your distance matrix as X and the metric keyword arg as Precomputed().
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dillondaudert
commented on May 22, 2024
Just changed this a bit; instead of passing a type, pass the symbol :precomputed
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dillondaudert
commented on May 22, 2024
Released v0.1.3 with this functionality implemented #9
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Related Issues (20)
- UMAP performance HOT 2
- Error in spectral layout on master
- link from python FAQ
- memory mapped / out-of-core support HOT 2
- Arbitrary data support HOT 10
- DescentGraph not defined HOT 4
- Isn't the input data row-major? HOT 2
- ERROR: MethodError: Cannot `convert` an object of type HOT 3
- Directly specify connectivity network
- Landmark-Based Spectral Embedding
- Example Notebook not working - Julia 1.6.1 HOT 5
- Feature request: densMAP
- upgrade dependencies HOT 2
- TagBot trigger issue HOT 3
- Random Seed HOT 1
- Inverse transformation
- julia> @time e = UMAP.umap(X, 2); ERROR: InexactError: Int64(... HOT 1
- Different embeddings for identical data
- Project status?
- multiThreads? HOT 1
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