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partitionComparison  

Implements Measures for the Comparison of Two Partitions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("partitionComparison", "0.2.6")



Attach the package and use:
library("partitionComparison")
Maintained by
Fabian Ball
[Scholar Profile | Author Map]
First Published: 2017-08-25
Latest Update: 2023-08-23
Description:
Provides several measures ((dis)similarity, distance/metric, correlation, entropy) for comparing two partitions of the same set of objects. The different measures can be assigned to three different classes: Pair comparison (containing the famous Jaccard and Rand indices), set based, and information theory based. Many of the implemented measures can be found in Albatineh AN, Niewiadomska-Bugaj M and Mihalko D (2006) and Meila M (2007) . Partitions are represented by vectors of class labels which allow a straightforward integration with existing clustering algorithms (e.g. kmeans()). The package is mostly based on the S4 object system.
How to cite:
Fabian Ball (2017). partitionComparison: Implements Measures for the Comparison of Two Partitions. R package version 0.2.6, https://cran.r-project.org/web/packages/partitionComparison. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.2.2 (2017-08-25 13:06), 0.2.3 (2017-12-19 14:10), 0.2.4 (2018-10-04 13:00), 0.2.5 (2019-03-07 14:20)
Other packages that cited partitionComparison R package
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Complete documentation for partitionComparison
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