fastcluster: Fast Hierarchical Clustering Routines for R and 'Python'

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': <https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/>.

Version:	1.3.0
Depends:	R (≥ 3.0.0)
Enhances:	stats, flashClust
Published:	2025-05-07
DOI:	10.32614/CRAN.package.fastcluster
Author:	Daniel Müllner [aut, cph, cre], Google Inc. [cph]
Maintainer:	Daniel Müllner <daniel at danifold.net>
License:	FreeBSD | GPL-2 | file LICENSE
Copyright:	Until package version 1.1.23: © 2011 Daniel Müllner <https://danifold.net>. All changes from version 1.1.24 on: © Google Inc. <https://www.google.com>.
URL:	https://danifold.net/fastcluster.html
NeedsCompilation:	yes
Citation:	fastcluster citation info
Materials:	README, NEWS, INSTALL
In views:	Cluster
CRAN checks:	fastcluster results

Documentation:

Reference manual:	fastcluster.html , fastcluster.pdf
Vignettes:	User's manual (source)

Downloads:

Package source:	fastcluster_1.3.0.tar.gz
Windows binaries:	r-devel: fastcluster_1.3.0.zip, r-release: fastcluster_1.3.0.zip, r-oldrel: fastcluster_1.3.0.zip
macOS binaries:	r-release (arm64): fastcluster_1.3.0.tgz, r-oldrel (arm64): fastcluster_1.3.0.tgz, r-release (x86_64): fastcluster_1.3.0.tgz, r-oldrel (x86_64): fastcluster_1.3.0.tgz
Old sources:	fastcluster archive

Reverse dependencies:

Reverse depends:	bahc, ICGE, PropClust, WGCNA
Reverse imports:	adductomicsR, bioregion, CEMiTool, ClustAssess, cogena, cstab, disto, funMoDisco, FuseSOM, geva, heatmap3, hierGWAS, HierPortfolios, hypervolume, iheatmapr, ILoReg, infercnv, Linnorm, maotai, mappeR, MetaCyto, MetProc, MLGL, mousetrap, MRPC, msPurity, NPflow, PhyloProfile, RAFS, scGPS, scoper, SPARTAAS, SpatialVx, visxhclust, VoxR, WeightedCluster
Reverse suggests:	bluster, ComplexHeatmap, familiar, FCPS, hyperSpec, IncDTW, MapperAlgo, MSCA, scde, TRexSelector

Linking:

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