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aricode  

Efficient Computations of Standard Clustering Comparison Measures
View on CRAN: Click here


Download and install aricode package within the R console
Install from CRAN:
install.packages("aricode")

Install from Github:
library("remotes")
install_github("cran/aricode")

Install by package version:
library("remotes")
install_version("aricode", "1.0.3")



Attach the package and use:
library("aricode")
Maintained by
Julien Chiquet
[Scholar Profile | Author Map]
First Published: 2018-05-02
Latest Update: 2023-10-20
Description:
Implements an efficient O(n) algorithm based on bucket-sorting for fast computation of standard clustering comparison measures. Available measures include adjusted Rand index (ARI), normalized information distance (NID), normalized mutual information (NMI), adjusted mutual information (AMI), normalized variation information (NVI) and entropy, as described in Vinh et al (2009) . Include AMI (Adjusted Mutual Information) since version 0.1.2, a modified version of ARI (MARI), as described in Sundqvist et al. and simple Chi-square distance since version 1.0.0.
How to cite:
Julien Chiquet (2018). aricode: Efficient Computations of Standard Clustering Comparison Measures. R package version 1.0.3, https://cran.r-project.org/web/packages/aricode. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.1 (2018-05-02 22:29), 0.1.2 (2019-06-29 23:10), 1.0.0 (2022-09-04 15:24), 1.0.1 (2022-09-05 11:00), 1.0.2 (2022-12-14 21:00)
Other packages that cited aricode R package
View aricode citation profile
Other R packages that aricode depends, imports, suggests or enhances
Complete documentation for aricode
Functions, R codes and Examples using the aricode R package
Some associated functions: AMI . ARI . Chi2 . MARI . MARIraw . NID . NMI . NVI . RI . aricode-package . aricode . clustComp . entropy . sortPairs . 
Some associated R codes: RcppExports.R . aricode-package.R . aricode.R .  Full aricode package functions and examples
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