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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "hopach" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'hopach: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)'
version: 2.72.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.hopach
- type: url
  value: http://docpollard.org/
abstract: The HOPACH clustering algorithm builds a hierarchical tree of clusters by
  recursively partitioning a data set, while ordering and possibly collapsing clusters
  at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria
  to identify the level of the tree with maximally homogeneous clusters. It also runs
  the tree down to produce a final ordered list of the elements. The non-parametric
  bootstrap allows one to estimate the probability that each element belongs to each
  cluster (fuzzy clustering).
authors:
- family-names: Pollard
  given-names: Katherine S.
  email: katherine.pollard@gladstone.ucsf.edu
- family-names: Pollard
  given-names: Katherine S.
- family-names: Laan
  given-names: with Mark J.
  name-particle: van der
  email: laan@stat.berkeley.edu
- family-names: Wall
  given-names: Greg
preferred-citation:
  type: article
  title: Hybrid clustering of gene expression data with visualization and the bootstrap
  authors:
  - family-names: Laan
    given-names: Mark J.
    name-particle: van der
  - family-names: Pollard
    given-names: Katherine S.
    email: katherine.pollard@gladstone.ucsf.edu
  journal: Journal of Statistical Planning and Infererence
  volume: '117'
  year: '2003'
  start: 275-303
repository: https://bioc-release.r-universe.dev
commit: 2172172ac6a8211093ba4cecd928126db9efd1e6
url: http://www.stat.berkeley.edu/~laan/
date-released: '2026-04-28'
contact:
- family-names: Pollard
  given-names: Katherine S.
  email: katherine.pollard@gladstone.ucsf.edu