Inference, Learning, and Optimization on Grassmann manifold
Grassmannian is a set of linear subspaces, which forms a Riemannian manifold. We provide algorithms for statistical inference, optimization, and learning over the Grassmann manifold.
Installation
You can install the released version of RiemGrassmann from CRAN with:
install.packages("RiemGrassmann")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("kyoustat/RiemGrassmann")Available Functions
| function | description |
|---|---|
gr.hclust | Hierarchical clustering. |
gr.kmedoids | k-Medoids clustering. |
gr.mean | Frechet mean and variation. |
gr.pdist | Pairwise distance for Grassmann-valued data |
gr.pdist2 | Pairwise distance between two sets of data |