R: Subset Partitioning via Anticlustering

# Subset Partitioning via Anticlustering

## Documentation for package ‘anticlust’ version 0.8.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

anticlustering | Anticlustering
balanced_clustering | Create balanced clusters of equal size
bicriterion_anticlustering | Bicriterion iterated local search heuristic
categorical_sampling | Random sampling employing a categorical constraint
categories_to_binary | Get binary representation of categorical variables
dispersion_objective | Cluster dispersion
diversity_objective | (Anti)cluster editing "diversity" objective
fast_anticlustering | Fast anticlustering
generate_exchange_partners | Get exchange partners for fast_anticlustering()
generate_partitions | Generate all partitions of same cardinality
kplus_anticlustering | K-plus anticlustering
kplus_moment_variables | Compute k-plus variables
matching | Matching
mean_sd_tab | Means and standard deviations by group variable formatted in table
n_partitions | Number of equal sized partitions
optimal_anticlustering | Optimal ("exact") algorithms for anticlustering
optimal_dispersion | Maximize dispersion for K groups
plot_clusters | Visualize a cluster analysis
plot_similarity | Plot similarity objective by cluster
schaper2019 | Ratings for 96 words
variance_objective | Objective value for the variance criterion
wce | Exact weighted cluster editing