/univarclust

development repository for the fused-Anova R package

Primary LanguageRGNU General Public License v3.0GPL-3.0

Univariate hierarchical clustering at large scale

Description

Fast implementations (in O(n log(n))) of two univariate hierarchical clustering methods (1 dimensional Ward hierarchical clustering and l1 clusterpath). Resulting hierarchies are exported as hclust object.

Installation

devtools::install_github("jchiquet/univarclust").

References

Chiquet J, Gutierrez P, Rigaill G: Fast tree inference with weighted fusion penalties, Journal of Computational and Graphical Statistics 205–216, 2017. PDF version

Toby Hocking, Jean-Philippe Vert, Francis Bach, and Armand Joulin. Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties, Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011.