hclust1d: Hierarchical Clustering of Univariate (1d) Data

A suit of algorithms for univariate agglomerative hierarchical clustering (with a few possible choices of a linkage function) in O(n*log n) time. The better algorithmic time complexity is paired with an efficient 'C++' implementation.

Version: 0.0.1
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, testthat (≥ 3.0.0)
Published: 2023-04-11
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
Materials: README NEWS
CRAN checks: hclust1d results


Reference manual: hclust1d.pdf


Package source: hclust1d_0.0.1.tar.gz
Windows binaries: r-devel: hclust1d_0.0.1.zip, r-release: hclust1d_0.0.1.zip, r-oldrel: hclust1d_0.0.1.zip
macOS binaries: r-release (arm64): hclust1d_0.0.1.tgz, r-oldrel (arm64): hclust1d_0.0.1.tgz, r-release (x86_64): hclust1d_0.0.1.tgz, r-oldrel (x86_64): hclust1d_0.0.1.tgz


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