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).
Package details 


Author  Mitchell Lyons [aut, cre] 
Maintainer  Mitchell Lyons <[email protected]> 
License  GPL3 
Version  0.1.0 
URL  https://github.com/mitchest/c2c/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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