This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the SciPy package ‘scipy.cluster.hierarchy’, hclust() in R’s ‘stats’ package, and the ‘flashClust’ package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.

Home http://danifold.net/fastcluster.html
Versions 1.1.20
License FreeBSD | GPL-2 | file LICENSE
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-fastcluster


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-fastcluster

and update with:

conda update r-fastcluster


A Docker container is available at https://quay.io/repository/biocontainers/r-fastcluster.