Package: uwot 0.2.2.9000
uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Authors:
uwot_0.2.2.9000.tar.gz
uwot_0.2.2.9000.zip(r-4.5)uwot_0.2.2.9000.zip(r-4.4)uwot_0.2.2.9000.zip(r-4.3)
uwot_0.2.2.9000.tgz(r-4.4-x86_64)uwot_0.2.2.9000.tgz(r-4.4-arm64)uwot_0.2.2.9000.tgz(r-4.3-x86_64)uwot_0.2.2.9000.tgz(r-4.3-arm64)
uwot_0.2.2.9000.tar.gz(r-4.5-noble)uwot_0.2.2.9000.tar.gz(r-4.4-noble)
uwot.pdf |uwot.html✨
uwot/json (API)
NEWS
# Install 'uwot' in R: |
install.packages('uwot', repos = c('https://jlmelville.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jlmelville/uwot/issues
Last updated 3 months agofrom:fd5f337bbd. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | OK | Nov 06 2024 |
R-4.5-linux-x86_64 | OK | Nov 06 2024 |
R-4.4-win-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-x86_64 | OK | Nov 06 2024 |
R-4.4-mac-aarch64 | OK | Nov 06 2024 |
R-4.3-win-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-x86_64 | OK | Nov 06 2024 |
R-4.3-mac-aarch64 | OK | Nov 06 2024 |
Exports:load_uwotlvishoptimize_graph_layoutsave_uwotsimilarity_graphsimplicial_set_intersectsimplicial_set_uniontumapumapumap_transformumap2unload_uwot
Dependencies:BHdqrngFNNirlbalatticeMatrixRcppRcppAnnoyRcppEigenRcppProgressRSpectrasitmo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Save or Load a Model | load_uwot |
Dimensionality Reduction with a LargeVis-like method | lvish |
Optimize Graph Layout | optimize_graph_layout |
Save or Load a Model | save_uwot |
Similarity Graph | similarity_graph |
Merge Similarity Graph by Simplicial Set Intersection | simplicial_set_intersect |
Merge Similarity Graph by Simplicial Set Union | simplicial_set_union |
Dimensionality Reduction Using t-Distributed UMAP (t-UMAP) | tumap |
Dimensionality Reduction with UMAP | umap |
Add New Points to an Existing Embedding | umap_transform |
Dimensionality Reduction with UMAP | umap2 |
Unload a Model | unload_uwot |