# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "fastcluster" in publications use:'
type: software
license:
- BSD-2-Clause-FreeBSD
- GPL-2.0-only
title: 'fastcluster: Fast Hierarchical Clustering Routines for R and ''Python'''
version: 1.2.6
doi: 10.18637/jss.v053.i09
identifiers:
- type: doi
  value: 10.32614/CRAN.package.fastcluster
abstract: '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/>.'
authors:
- family-names: Müllner
  given-names: Daniel
  email: daniel@danifold.net
preferred-citation:
  type: article
  title: 'fastcluster: Fast Hierarchical, Agglomerative Clustering Routines for R
    and Python'
  authors:
  - family-names: Müllner
    given-names: Daniel
    email: daniel@danifold.net
  journal: Journal of Statistical Software
  year: '2013'
  volume: '53'
  issue: '9'
  doi: 10.18637/jss.v053.i09
  start: '1'
  end: '18'
repository: https://dmuellner.r-universe.dev
commit: 41c5567ec84138d96fd2ce5675ab1127b2910735
url: https://danifold.net/fastcluster.html
date-released: '2023-12-22'
contact:
- family-names: Müllner
  given-names: Daniel
  email: daniel@danifold.net