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.
- Version1.0.4
- R versionunknown
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release03/23/2021
Documentation
Team
Robrecht Cannoodt
Wouter Saelens
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- Imports5 packages
- Suggests11 packages
- Reverse Suggests1 package