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clustur  

Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clustur", "0.1.4")



Attach the package and use:
library("clustur")
Maintained by
Patrick Schloss
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-14
Latest Update: 2025-04-21
Description:
A tool that implements the clustering algorithms from 'mothur' (Schloss PD et al. (2009) <doi:10.1128/AEM.01541-09>). 'clustur' make use of the cluster() and make.shared() command from 'mothur'. Our cluster() function has five different algorithms implemented: 'OptiClust', 'furthest', 'nearest', 'average', and 'weighted'. 'OptiClust' is an optimized clustering method for Operational Taxonomic Units, and you can learn more here, (Westcott SL, Schloss PD (2017) <doi:10.1128/mspheredirect.00073-17>). The make.shared() command is always applied at the end of the clustering command. This functionality allows us to generate and create clustering and abundance data efficiently.
How to cite:
Patrick Schloss (2024). clustur: Clustering. R package version 0.1.4, https://cran.r-project.org/web/packages/clustur. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 0.1.0 (2024-11-14 14:50), 0.1.1 (2024-11-25 19:10), 0.1.2 (2025-04-14 18:50), 0.1.3 (2025-04-21 18:20)
Other packages that cited clustur R package
View clustur citation profile
Other R packages that clustur depends, imports, suggests or enhances
Complete documentation for clustur
Functions, R codes and Examples using the clustur R package
Full clustur package functions and examples
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