Other packages > Find by keyword >

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]
All associated links for this package
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 22 Dec. 2024.
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
View partitionComparison citation profile
Other R packages that partitionComparison depends, imports, suggests or enhances
Complete documentation for partitionComparison
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA