The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
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Similarity Graph
Merge Similarity Graph by Simplicial Set Intersection
Merge Similarity Graph by Simplicial Set Union
Dimensionality Reduction Using t-Distributed UMAP (t-UMAP)
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Dimensionality Reduction with UMAP
Dimensionality Reduction with UMAP
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Dimensionality Reduction with a LargeVis-like method
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An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. 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) <doi:10.48550/arXiv.1602.00370> 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 (<https://github.com/jlmelville/uwot>) for more documentation and examples.
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