Other packages > Find by keyword >

anticlust  

Subset Partitioning via Anticlustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("anticlust", "0.8.13")



Attach the package and use:
library("anticlust")
Maintained by
Martin Papenberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-29
Latest Update: 2025-03-26
Description:
The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to exact and heuristic anticlustering methods described in Papenberg and Klau (2021; ), Brusco et al. (2020; ), and Papenberg (2023; ). The exact algorithms require that an integer linear programming solver is installed, either the GNU linear programming kit () together with the interface package 'Rglpk' (), or the SYMPHONY ILP solver () together with the interface package 'Rsymphony' (). Full access to the bicriterion anticlustering method proposed by Brusco et al. (2020) is given via the function bicriterion_anticlustering(), while kplus_anticlustering() implements the full functionality of the k-plus anticlustering approach proposed by Papenberg (2023). Some other functions are available to solve classical clustering problems. The function balanced_clustering() applies a cluster analysis under size constraints, i.e., creates equal-sized clusters. The function matching() can be used for (unrestricted, bipartite, or K-partite) matching. The function wce() can be used optimally solve the (weighted) cluster editing problem, also known as correlation clustering, clique partitioning problem or transitivity clustering.
How to cite:
Martin Papenberg (2020). anticlust: Subset Partitioning via Anticlustering. R package version 0.8.13, https://cran.r-project.org/web/packages/anticlust. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.5.0 (2020-06-29 12:20), 0.5.3 (2020-09-25 11:50), 0.5.6 (2020-11-24 15:40), 0.6.0 (2021-12-01 12:00), 0.6.1 (2021-12-07 09:40), 0.6.3 (2023-01-30 15:30), 0.6.4 (2023-05-02 20:50), 0.7.0 (2023-07-15 23:30), 0.8.0-1 (2023-10-25 15:30), 0.8.0 (2023-09-14 01:00), 0.8.1 (2023-10-26 22:20), 0.8.3 (2024-04-24 12:50), 0.8.5 (2024-05-05 23:20), 0.8.7 (2024-10-01 16:50), 0.8.9-1 (2025-01-20 14:00), 0.8.9 (2025-01-17 16:10), 0.8.10-1 (2025-03-26 18:40), 0.8.10 (2025-03-14 00:20), 0.8.12 (2025-10-31 15:50), 0.8.13 (2025-11-29 07:10)
Other packages that cited anticlust R package
View anticlust citation profile
Other R packages that anticlust depends, imports, suggests or enhances
Complete documentation for anticlust
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

poptrend  
Estimate Smooth and Linear Trends from Population Count Survey Data
Functions to estimate and plot smooth or linear population trends, or population indices, from anim ...
Download / Learn more Package Citations See dependency  
ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
Download / Learn more Package Citations See dependency  
PoisBinOrdNor  
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
Download / Learn more Package Citations See dependency  
tactile  
New and Extended Plots, Methods, and Panel Functions for 'lattice'
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency  
colormap  
Color Palettes using Colormaps Node Module
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see ...
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  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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