umap: Uniform Manifold Approximation and Projection
Uniform manifold approximation and projection is a technique
for dimension reduction. The algorithm was described by McInnes and
Healy (2018) in <arXiv:1802.03426>. 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).
||animalcules, CelliD, chameleon, ChromSCape, CytoTree, EmbedSOM, FateID, GEOexplorer, HIPPO, ILoReg, InterCellar, M3C, MatrixQCvis, Mercator, musclesyneRgies, RaceID, RCSL, RSDA, scDataviz, sRACIPE, tomoda
||cola, dimRed, HDCytoData, Platypus, ProjectionBasedClustering, seriation
Please use the canonical form
to link to this page.