Subset Partitioning via Anticlustering

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Documentation for package ‘anticlust’ version 0.8.5

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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