Bootstrapping Estimates of Clustering Stability

Documentation for package ‘bootcluster’ version 0.4.2

agreement	Calculate agreement between two clustering results
agreement_nk	Calculate agreement between two clustering results with known number of clusters
analyze_moc_datasets	Multi-Method Ensemble Clustering Analysis for Multiple-Objective Clustering (MOC) Datasets
compare_moc_results	Compare MOC Results
ensemble.cluster.multi	Multi-Method Ensemble Clustering with Graph-based Consensus
ensemble_cluster_multi_combinations	Multi-Method Ensemble Clustering with Multiple Stability Combinations
esmbl.stability	Estimate the stability of a clustering based on non-parametric bootstrap out-of-bag scheme, with option for subsampling scheme
k.select	Estimate number of clusters
k.select_ref	Estimate number of clusters
load_moc_datasets	Load Multiple-Objective Clustering (MOC) Datasets
min_agreement	Calculate minimum agreement across clusters
network.stability	Estimate of detect module stability
network.stability.output	Plot method for objests from threshold.select
ob.stability	Estimate the stability of a clustering based on non-parametric bootstrap out-of-bag scheme, with option for subsampling scheme
plot_moc_grid	Create a Grid Plot of MOC Results
plot_moc_results	Plot MOC Results
ref_dist	Generate reference distribution for stability assessment
ref_dist_bin	Generate reference distribution for binary data
ref_dist_pca	Generate PCA-based reference distribution
stability	Estimate clustering stability of k-means
threshold.select	Estimate of the overall Jaccard stability
wine	Wine Data Set