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c2c  

Compare Two Classifications or Clustering Solutions of Varying Structure
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]
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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Complete documentation for c2c
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