CRAN/E | fastcluster

fastcluster

Fast Hierarchical Clustering Routines for R and 'Python'

Installation

About

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': .

Citation fastcluster citation info
danifold.net/fastcluster.html
Copyright Until package version 1.1.23: © 2011 Daniel Müllner <http://danifold.net>. All changes from version 1.1.24 on: © Google Inc. <http://google.com>.

Key Metrics

Version 1.2.3
R ≥ 3.0.0
Published 2021-05-24 920 days ago
Needs compilation? yes
License FreeBSD
License GPL-2
License File
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Maintainer

Maintainer

Daniel Müllner

daniel@danifold.net

Authors

Daniel Müllner

aut / cph / cre

Google Inc.

cph

Material

README
NEWS
INSTALL
Reference manual
Package source

In Views

Cluster

Vignettes

User's manual

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fastcluster archive

Depends

R ≥ 3.0.0

Enhances

stats
flashClust

Reverse Depends

bahc
cummeRbund
ICGE
PropClust
WGCNA

Reverse Imports

adductomicsR
aRchi
CEMiTool
chromatographR
ClustAssess
cogena
cstab
disto
geva
heatmap3
hierGWAS
HierPortfolios
hypervolume
iheatmapr
ILoReg
infercnv
Linnorm
maotai
MetaCyto
MetProc
MLGL
mousetrap
MRPC
msPurity
NPflow
pagoda2
propr
RAMClustR
scGPS
SpatialVx
vanddraabe
visxhclust
VoxR

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