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

Package details

AuthorRobrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
MaintainerRobrecht Cannoodt <rcannood@gmail.com>
LicenseMIT + file LICENSE
URL https://github.com/dynverse/dyndimred
Package repositoryView on CRAN
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dyndimred documentation built on March 23, 2021, 9:06 a.m.