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Description

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.

dyndimred

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ℹ️ Tutorials

dyndimred: Dimensionality Reduction Methods in a Common Format

Provides a common interface for applying dimensionality reduction methods, such as PCA, ICA, diffusion maps, LLE, t-SNE, and umap. Just plug in a matrix and get a dimensionality reduction!

Latest changes

Check out news(package = "dyndimred") or NEWS.md for a full list of changes.

Recent changes in dyndimred 1.0.4

  • MINOR CHANGES: Check package is installed before running unit tests.

  • MINOR CHANGES: Remove dynutils::install_packages().

Recent changes in dyndimred 1.0.3

  • MINOR CHANGES: The code for landmark mds has been moved to its own separate package, lmds.

  • MINOR CHANGES: Change license to MIT.

  • MINOR CHANGES: Fix dynutils::install_packages() such that it prompts the user whether or not to install packages when in interactive mode, and simply returns an error when not in interactive mode.

Dynverse dependencies.

Metadata

Version

1.0.4

License

Unknown

Platforms (75)

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