anticlust: Subset Partitioning via Anticlustering

The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) in such a way that the between-group similarity is maximized and – at the same time – the within-group heterogeneity is maximized. This reverses the logic of cluster analysis that strives for high within-group homogeneity and low similarity of the different 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 function anticlustering() implements exact and heuristic anticlustering algorithms as described in Papenberg and Klau (2020; <doi:10.1037/met0000301>). The exact approach requires that the GNU linear programming kit (<https://www.gnu.org/software/glpk/glpk.html>) is available and the R package 'Rglpk' (<https://cran.R-project.org/package=Rglpk>) is installed. 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.

Version:	0.5.0
Depends:	R (≥ 3.6.0)
Imports:	Matrix, RANN (≥ 2.6.0)
Suggests:	Rglpk, testthat
Published:	2020-06-29
Author:	Martin Papenberg [aut, cre], Meik Michalke [ctb] (centroid based clustering algorithm), Gunnar W. Klau [ths], Juliane V. Tkotz [ctb] (package logo)
Maintainer:	Martin Papenberg <martin.papenberg at hhu.de>
BugReports:	https://github.com/m-Py/anticlust/issues
License:	MIT + file LICENSE
URL:	https://github.com/m-Py/anticlust
NeedsCompilation:	no
SystemRequirements:	The exact (anti)clustering algorithms require that the GNU linear programming kit (GLPK library) is installed (<http://www.gnu.org/software/glpk/>).
Citation:	anticlust citation info
CRAN checks:	anticlust results

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