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clustringr  

Cluster Strings by Edit-Distance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clustringr", "1.0")



Attach the package and use:
library("clustringr")
Maintained by
Dan S. Reznik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-30
Latest Update: 2019-03-30
Description:
Returns an edit-distance based clusterization of an input vector of strings. Each cluster will contain a set of strings w/ small mutual edit-distance (e.g., Levenshtein, optimum-sequence-alignment, Damerau-Levenshtein), as computed by stringdist::stringdist(). The set of all mutual edit-distances is then used by graph algorithms (from package 'igraph') to single out subsets of high connectivity.
How to cite:
Dan S. Reznik (2019). clustringr: Cluster Strings by Edit-Distance. R package version 1.0, https://cran.r-project.org/web/packages/clustringr. Accessed 06 Mar. 2026.
Previous versions and publish date:
No previous versions
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View clustringr citation profile
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Complete documentation for clustringr
Functions, R codes and Examples using the clustringr R package
Some associated functions: cluster_plot . cluster_strings . quijote_words . 
Some associated R codes: cluster_plot.R . cluster_strings.R . data.R .  Full clustringr package functions and examples
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