dynverse/dyndimred: Dimensionality Reduction Methods in a Common Format
Provides a common interface for applying dimensionality reduction methods, such as Principal Component Analysis ('PCA'), Independent Component Analysis ('ICA'), diffusion maps, Locally-Linear Embedding ('LLE'), t-distributed Stochastic Neighbor Embedding ('t-SNE'), and Uniform Manifold Approximation and Projection ('UMAP'). Has built-in support for sparse matrices.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.0.4 |
| URL | https://github.com/dynverse/dyndimred |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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