Tools for Assessing Clustering

---

Documentation for package ‘ClustAssess’ version 0.3.0

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

Help Pages

consensus_cluster	Consensus Clustering and Proportion of Ambiguously Clustered Pairs
element_agreement	Element-Wise Average Agreement Between a Set of Clusterings
element_consistency	Element-Wise Consistency Between a Set of Clusterings
element_sim	The Element-Centric Clustering Similarity
element_sim_elscore	The Element-Centric Clustering Similarity for each Element
element_sim_matrix	Pairwise Comparison of Clusterings
get_clustering_difference	Graph Clustering Method Stability
get_feature_stability	Evaluate Feature Set Stability
get_nn_conn_comps	Relationship Between Nearest Neighbors and Connected Components
get_nn_importance	Assess Graph Building Parameters
get_resolution_importance	Evaluate Stability Across Resolution, Number of Neighbors, and Graph Type
marker_overlap	Cell-Wise Marker Gene Overlap
merge_partitions	Merge Partitions
pac_convergence	PAC Convergence Plot
pac_landscape	PAC Landscape Plot
plot_clustering_difference_boxplot	Clustering Method Stability Boxplot
plot_clustering_difference_facet	Clustering Method Stability Facet Plot
plot_connected_comps_evolution	Relationship Between Number of Nearest Neighbors and Graph Connectivity
plot_feature_stability_boxplot	Feature Stability Boxplot
plot_feature_stability_ecs_facet	Feature Stability - EC Consistency Facet Plot
plot_feature_stability_ecs_incremental	Feature Stability Incremental Boxplot
plot_feature_stability_mb_facet	Feature Stability - Cluster Membership Facet Plot
plot_k_n_partitions	Relationship Between the Number of Clusters and the Number of Unique Partitions
plot_k_resolution_corresp	Correspondence Between Resolution and the Number of Clusters
plot_n_neigh_ecs	Graph construction parameters - ECC facet
plot_n_neigh_k_correspondence	Relationship Between Number of Nearest Neighbors and Number of Clusters