fastcluster: Fast Hierarchical Clustering Routines for R and Python
Version 1.1.24

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.

Getting started

Package details

AuthorDaniel Müllner [aut, cph, cre]
Date of publication2017-08-21 10:36:48 UTC
MaintainerDaniel Müllner <daniel@danifold.net>
LicenseFreeBSD | GPL-2 | file LICENSE
Version1.1.24
URL http://danifold.net/fastcluster.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("fastcluster")

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fastcluster documentation built on Aug. 21, 2017, 5:08 p.m.