R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
anticlust
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", "0.8.1")
Attach the package and use:
library("anticlust")
Maintained by
Martin Papenberg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-29
Latest Update: 2023-10-26
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 0.8.1, https://cran.r-project.org/web/packages/anticlust
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)
Other packages that cited anticlust R package
View anticlust citation profile
Other R packages that anticlust depends,
imports, suggests or enhances
Functions, R codes and Examples using
the anticlust R package
Some associated functions: anticlust . anticlustering . balanced_clustering . bicriterion_anticlustering . categorical_sampling . categories_to_binary . dispersion_objective . diversity_objective . fast_anticlustering . generate_partitions . kplus_anticlustering . kplus_moment_variables . matching . mean_sd_tab . n_partitions . optimal_dispersion . plot_clusters . plot_similarity . schaper2019 . variance_objective . wce .
Some associated R codes: Optimal_Dispersion.R . anticlust.R . bicriterion_iterated_local_search_call.R . c-anticlustering.R . categorical-variable-handling.R . categories_to_binary.R . descriptives_by_cluster.R . exact-anticlustering.R . exact-cluster-editing.R . exchange-method-anticluster-editing.R . exchange-method-generic.R . exchange-method-kmeans-anticlustering.R . generate-partitions.R . ilp-postprocessing.R . ilp-setup.R . ilp-solve.R . input-validation.R . nn-centroid-clustering.R . number-of-partitions.R . objective-dispersion.R . objective-diversity.R . objective-kplus.R . objective-variance.R . plot-similarity.R . plotting.R . repeated-exchange.R . sample-by-category.R . schaper2019.R . util-sort.R . weighted-cluster-editing.R . wrapper-anticlustering.R . wrapper-clustering.R . wrapper-k-plus-anticlustering.R . wrapper-matching.R . Full anticlust package functions and examples
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
gmt
Interface between the GMT map-making software and R, enabling the
user to manipulate geographic dat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Arni Magnusson (view profile)
hydropeak
An important environmental impact on running water ecosystems
is caused by hydropeaking - the disco ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Bettina Grün (view profile)
rankdist
Implements distance based probability models for ranking data.
The supported distance metrics inclu ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Zhaozhi Qian (view profile)
trapezoid
The trapezoid package provides 'dtrapezoid', 'ptrapezoid', 'qtrapezoid', and 'rtrapezoid' functions ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jeremy Thoms Hetzel (view profile)
EasyDescribe
Descriptive Statistics is essential for publishing articles. This package can perform
descriptive s ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Xiuquan Nie (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
22,187
R Packages
188,753
Dependencies
55,244
Author Associations
22,188
Publication Badges
© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns