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uwot (version 0.1.16)

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

64,281

Version

0.1.16

License

GPL (>= 3)

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Maintainer

James Melville

Last Published

June 29th, 2023

Functions in uwot (0.1.16)

tumap

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

Dimensionality Reduction with a LargeVis-like method
save_uwot

Save or Load a Model
optimize_graph_layout

Optimize Graph Layout
similarity_graph

Similarity Graph
umap

Dimensionality Reduction with UMAP
umap_transform

Add New Points to an Existing Embedding
simplicial_set_union

Merge Similarity Graph by Simplicial Set Union
simplicial_set_intersect

Merge Similarity Graph by Simplicial Set Intersection
load_uwot

Save or Load a Model
unload_uwot

Unload a Model