Bootstrapping Estimates of Clustering Stability


[Up] [Top]

Documentation for package ‘bootcluster’ version 0.4.2

Help Pages

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