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:James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb]

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Bug tracker:https://github.com/jlmelville/uwot/issues

On CRAN:

dimensionality-reductionumap

12 exports 315 stars 8.50 score 12 dependencies 130 dependents 17 mentions 1.8k scripts 37.5k downloads

Last updated 11 days agofrom:fd5f337bbd. Checks:OK: 9. Indexed: yes.

Exports:load_uwotlvishoptimize_graph_layoutsave_uwotsimilarity_graphsimplicial_set_intersectsimplicial_set_uniontumapumapumap_transformumap2unload_uwot

Dependencies:BHdqrngFNNirlbalatticeMatrixRcppRcppAnnoyRcppEigenRcppProgressRSpectrasitmo