Cluster Strings by Edit-Distance

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.


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1.0 by Dan S. Reznik, 3 months ago

Browse source code at

Authors: Dan S. Reznik

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports magrittr, dplyr, stringi, stringr, stringdist, igraph, assertthat, forcats, rlang, tidygraph, ggraph, ggplot2

See at CRAN