Skip to content

The code for Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds (R-LSLDGC).

License

Notifications You must be signed in to change notification settings

t-sakai-kure/R-LSLDGC

Repository files navigation

R-LSLDGC

The MATLAB code for Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds (R-LSLDGC).

"demo_toydata.m" runs the toy data experiment in Section 4.

>> demo_toydata

yields the following results:

To cite the paper, the bibtex is available here.

Reference

M. Ashizawa, H. Sasaki, T. Sakai, and M. Sugiyama.
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds.
In A. Singh and J. Zhu (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), vol.54, pp.537-546, Fort Lauderdale, USA, 20-22, April, 2017.
[paper]

About

The code for Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds (R-LSLDGC).

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages