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fastcluster

1.3.0Package record

Fast Hierarchical Clustering Routines for R and 'Python'

27packages dependsuggested by 8
288.6Kdownloads / year
92.6%test coverage
13/13flavors OK

Overview

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

Changes in 1.3.0
  • Support for NumPy 2.
  • Python interface: Updated definition of the Jaccard distance function, following a change in SciPy 1.15.0.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

Documentation signals are not tracked yet for this package.

Vignettes (1)

Downloads

288.6K
CRAN downloads in the past year
Rank #589 · ~791/day · ~24K/mo
fastcluster
Daily download trend is not available in this view yet.
22.5K30 days
105.8K90 days
288.6K1 year
Compare downloads with other packages →
Also on6.6K r2u5 autocran40.6K conda_forge742 bioconda419 c2d4u

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing fastcluster adds no packages beyond those that come with R.

Depends (1)
R >= 3.0.0
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
27direct
36indirect
Depends 4 · Imports 23
Suggested by 8
Show all 35 packagesHide all 35 packages
Depends, Imports or LinkingTo, most downloaded first
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People & History

People (2)
Author, Copyright holder, Maintainer since 1.0.1 (2011)
Copyright holder · added in 1.1.25
Listed in earlier versions (1)
http://math.stanford.edu/~muellner
no longer listed · 1.0.2 to 1.0.4
Releases (30)
  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.0Latest
    2025-05-07 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.6
    2024-01-12 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.3
    2021-05-25 · diff ↗
  • 1.2.2
    2021-05-24 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.25
    2018-06-07 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1.24
    2017-08-21 · diff ↗
  • 1.1.23
    2017-08-21 · diff ↗
Show 32 earlier eventsHide 32 earlier events

Package metadata

First published
2011-03-16
Total releases
30 / 15 yrs
License
FreeBSD | GPL-2 | file LICENSE OSI · relicensed from FreeBSD | file LICENSE in 1.1.10
Download size
199 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastcluster")
Müllner, D., & Google Inc. (2025). fastcluster: Fast Hierarchical Clustering Routines for R and 'Python' (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.fastcluster

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fastcluster version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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