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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).
Version: | 0.1.0 |
Depends: | R (≥ 3.1.0) |
Suggests: | testthat, knitr, rmarkdown, e1071 |
Published: | 2017-07-23 |
DOI: | 10.32614/CRAN.package.c2c |
Author: | Mitchell Lyons [aut, cre] |
Maintainer: | Mitchell Lyons <mitchell.lyons at gmail.com> |
BugReports: | https://github.com/mitchest/c2c/issues |
License: | GPL-3 |
URL: | https://github.com/mitchest/c2c/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | c2c results |
Reference manual: | c2c.pdf |
Vignettes: |
c2c workflow |
Package source: | c2c_0.1.0.tar.gz |
Windows binaries: | r-devel: c2c_0.1.0.zip, r-release: c2c_0.1.0.zip, r-oldrel: c2c_0.1.0.zip |
macOS binaries: | r-release (arm64): c2c_0.1.0.tgz, r-oldrel (arm64): c2c_0.1.0.tgz, r-release (x86_64): c2c_0.1.0.tgz, r-oldrel (x86_64): c2c_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.