We provide a rich collection of linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013)
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.