The Uniform Manifold Approximation and Projection (UMAP) Method
for Dimensionality Reduction
c(person("James", "Melville", email = "jlmelville@gmail.com", role = c("aut", "cre")),
    person("Aaron", "Lun", role="ctb"),person("Mohamed Nadhir", "Djekidel", role="ctb"),
    person("Yuhan", "Hao", role="ctb"),person("Dirk", "Eddelbuettel", role="ctb"))
An implementation of the Uniform Manifold Approximation and 
    Projection dimensionality reduction by McInnes et al. (2018) 
    <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) <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.
Rcpp, methods, FNN, RcppAnnoy (>= 0.0.17), irlba
James Melville [aut, cre],
  Aaron Lun [ctb],
  Mohamed Nadhir Djekidel [ctb],
  Yuhan Hao [ctb],
  Dirk Eddelbuettel [ctb]