# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "umap" in publications use:' type: software license: MIT title: 'umap: Uniform Manifold Approximation and Projection' version: 0.2.11.0 doi: 10.32614/CRAN.package.umap abstract: Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in . This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details). authors: - family-names: Konopka given-names: Tomasz email: tokonopka@gmail.com repository: https://tkonopka.r-universe.dev repository-code: https://github.com/tkonopka/umap commit: 9106cac8de40df3b9728352f73e8a757b55ac848 url: https://github.com/tkonopka/umap contact: - family-names: Konopka given-names: Tomasz email: tokonopka@gmail.com