README.md

In RiemGrassmann: Inference, Learning, and Optimization on Grassmann Manifold

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 |

RiemGrassmann documentation built on March 25, 2020, 5:07 p.m.