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fastcluster (version 1.1.25)

Fast Hierarchical Clustering Routines for R and 'Python'

Description

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. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': .

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Version

Install

install.packages('fastcluster')

Monthly Downloads

13,778

Version

1.1.25

License

FreeBSD | GPL-2 | file LICENSE

Maintainer

Daniel Mllner

Last Published

June 7th, 2018

Functions in fastcluster (1.1.25)

hclust.vector

Fast hierarchical, agglomerative clustering of vector data
hclust

Fast hierarchical, agglomerative clustering of dissimilarity data
fastcluster

Fast hierarchical, agglomerative clustering routines for R and Python