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umap  

Uniform Manifold Approximation and Projection
View on CRAN: Click here


Download and install umap package within the R console
Install from CRAN:
install.packages("umap")

Install from Github:
library("remotes")
install_github("cran/umap")

Install by package version:
library("remotes")
install_version("umap", "0.2.10.0")



Attach the package and use:
library("umap")
Maintained by
Tomasz Konopka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-06-24
Latest Update: 2023-02-01
Description:
Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <doi:10.48550/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).
How to cite:
Tomasz Konopka (2018). umap: Uniform Manifold Approximation and Projection. R package version 0.2.10.0, https://cran.r-project.org/web/packages/umap. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0.3 (2018-06-24 13:07), 0.2.0.0 (2018-07-25 22:00), 0.2.1.0 (2019-04-30 09:20), 0.2.2.0 (2019-05-13 08:20), 0.2.3.1 (2019-08-21 14:40), 0.2.3 (2019-08-19 20:50), 0.2.4.0 (2019-12-07 15:30), 0.2.4.1 (2020-01-09 00:00), 0.2.5.0 (2020-03-09 07:20), 0.2.6.0 (2020-06-16 02:10), 0.2.7.0 (2020-11-04 07:50), 0.2.8.0 (2022-03-23 21:30), 0.2.9.0 (2022-08-25 08:10)
Other packages that cited umap R package
View umap citation profile
Other R packages that umap depends, imports, suggests or enhances
Complete documentation for umap
Functions, R codes and Examples using the umap R package
Some associated functions: predict.umap . umap.defaults . umap.knn . umap . 
Some associated R codes: RcppExports.R . coo.R . coo_spectral.R . embedding.R . knn.R . umap.R . umap_checks.R . umap_learn.R . umap_naive.R . umap_print.R . umap_small.R . umap_universal.R . utils.R .  Full umap package functions and examples
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