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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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