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c2c
View on CRAN: Click
here
Download and install c2c package within the R console
Install from CRAN:
install.packages("c2c")
Install from Github:
library("remotes")
install_github("cran/c2c")
Install by package version:
library("remotes")
install_version("c2c", "0.1.0")
Attach the package and use:
library("c2c")
Maintained by
Mitchell Lyons
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.c2c . https://github.com/mitchest/c2c/issues . https://github.com/mitchest/c2c/ . c2c results . c2c.pdf . c2c workflow . c2c_0.1.0.tar.gz . c2c_0.1.0.zip . c2c_0.1.0.zip . c2c_0.1.0.zip . c2c_0.1.0.tgz . c2c_0.1.0.tgz . c2c_0.1.0.tgz . c2c_0.1.0.tgz . https://CRAN.R-project.org/package=c2c .
First Published: 2017-07-23
Latest Update: 2017-07-23
Description:
Compare two classifications or clustering solutions that may or may
not have the same number of classes, and that might have hard or soft
(fuzzy, probabilistic) membership. Calculate various metrics to assess how
the clusters compare to each other. The calculations are simple, but provide
a handy tool for users unfamiliar with matrix multiplication. This package
is not geared towards traditional accuracy assessment for classification/
mapping applications - the motivating use case is for comparing a
probabilistic clustering solution to a set of reference or existing class
labels that could have any number of classes (that is, without having to
degrade the probabilistic clustering to hard classes).
How to cite:
Mitchell Lyons (2017). c2c: Compare Two Classifications or Clustering Solutions of Varying Structure. R package version 0.1.0, https://cran.r-project.org/web/packages/c2c. Accessed 30 Apr. 2025.
Previous versions and publish date:
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Other R packages that c2c depends,
imports, suggests or enhances
Complete documentation for c2c
Functions, R codes and Examples using
the c2c R package
Some associated functions: calculate_clustering_metrics . class_entropy . class_purity . get_conf_mat . get_hard . labels_to_matrix . overall_entropy . overall_purity . percentage_agreement .
Some associated R codes: calculate_clustering_metrics.R . class_metrics.R . get_conf_mat.R . get_hard.R . labels_to_matrix.R . overall_metrics.R . utils.R . Full c2c package functions and examples
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