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hclust1d: Hierarchical Clustering of Univariate (1d) Data

Univariate agglomerative hierarchical clustering with a comprehensive list of choices of a linkage function in O(n*log n) time. The better algorithmic time complexity is paired with an efficient 'C++' implementation.

Version: 0.1.1
Imports: Rcpp, utils
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-08-07
Author: Szymon Nowakowski ORCID iD [aut, cre]
Maintainer: Szymon Nowakowski <s.nowakowski at mimuw.edu.pl>
BugReports: https://github.com/SzymonNowakowski/hclust1d/issues
License: GPL (≥ 3)
URL: https://github.com/SzymonNowakowski/hclust1d
NeedsCompilation: yes
Citation: hclust1d citation info
Materials: README NEWS
In views: Cluster
CRAN checks: hclust1d results

Documentation:

Reference manual: hclust1d.pdf
Vignettes: Getting started with 'hclust1d'
A guide on replacing 'stats::hclust' with 'hclust1d'

Downloads:

Package source: hclust1d_0.1.1.tar.gz
Windows binaries: r-devel: hclust1d_0.1.1.zip, r-release: hclust1d_0.1.1.zip, r-oldrel: hclust1d_0.1.1.zip
macOS binaries: r-release (arm64): hclust1d_0.1.1.tgz, r-oldrel (arm64): hclust1d_0.1.1.tgz, r-release (x86_64): hclust1d_0.1.1.tgz, r-oldrel (x86_64): hclust1d_0.1.1.tgz
Old sources: hclust1d archive

Reverse dependencies:

Reverse imports: DMRnet

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hclust1d to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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