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dyndimred  

Dimensionality Reduction Methods in a Common Format
View on CRAN: Click here


Download and install dyndimred package within the R console
Install from CRAN:
install.packages("dyndimred")

Install from Github:
library("remotes")
install_github("cran/dyndimred")

Install by package version:
library("remotes")
install_version("dyndimred", "1.0.4")



Attach the package and use:
library("dyndimred")
Maintained by
Robrecht Cannoodt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-24
Latest Update: 2021-03-23
Description:
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.
How to cite:
Robrecht Cannoodt (2019). dyndimred: Dimensionality Reduction Methods in a Common Format. R package version 1.0.4, https://cran.r-project.org/web/packages/dyndimred. Accessed 11 Jun. 2026.
Previous versions and publish date:
1.0.1 (2019-05-24 11:10), 1.0.2 (2019-08-07 11:40), 1.0.3 (2020-03-08 18:20)
Other packages that cited dyndimred R package
View dyndimred citation profile
Other R packages that dyndimred depends, imports, suggests or enhances
Complete documentation for dyndimred
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