R package 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.
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References in zbMATH (referenced in 1 article )
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- Kisung You, Changhee Suh: Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation (2020) arXiv