Clusternomics: Integrative context-dependent clustering for heterogeneous datasets
Fig 4
ARI comparing global clustering of simulated datasets with misspecified number of clusters for varying values of p, when we set the number of global clusters to 5.
Each point corresponds to a corresponding algorithm applied to one dataset, the plot shows also the loess curve for each method. Higher values correspond to better agreement between the estimated cluster assignments and the true cluster membership.