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uwot (version 0.1.2)

The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

Description

An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) . 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) 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 () for more documentation and examples.

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Install

install.packages('uwot')

Monthly Downloads

38,094

Version

0.1.2

License

GPL-3

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Maintainer

James Melville

Last Published

April 6th, 2019

Functions in uwot (0.1.2)

load_uwot

Save or Load a Model
umap

Dimensionality Reduction with UMAP
umap_transform

Add New Points to an Existing Embedding
save_uwot

Save or Load a Model
tumap

Dimensionality Reduction Using t-Distributed UMAP (t-UMAP)
lvish

Dimensionality Reduction with a LargeVis-like method