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hclust1d  

Hierarchical Clustering of Univariate (1d) Data
View on CRAN: Click here


Download and install hclust1d package within the R console
Install from CRAN:
install.packages("hclust1d")

Install from Github:
library("remotes")
install_github("cran/hclust1d")

Install by package version:
library("remotes")
install_version("hclust1d", "0.1.1")



Attach the package and use:
library("hclust1d")
Maintained by
Szymon Nowakowski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-11
Latest Update: 2023-08-07
Description:
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.
How to cite:
Szymon Nowakowski (2023). hclust1d: Hierarchical Clustering of Univariate (1d) Data. R package version 0.1.1, https://cran.r-project.org/web/packages/hclust1d. Accessed 09 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.0.1 (2023-04-11 21:10), 0.1.0 (2023-07-10 21:10)
Other packages that cited hclust1d R package
View hclust1d citation profile
Other R packages that hclust1d depends, imports, suggests or enhances
Complete documentation for hclust1d
Functions, R codes and Examples using the hclust1d R package
Some associated functions: hclust1d-package . hclust1d . supported_dist.methods . supported_methods . 
Some associated R codes: RcppExports.R . hclust1d.R . hclust1d_package.R . onAttach.R . supported_dist.methods.R . supported_methods.R .  Full hclust1d package functions and examples
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