R: Tools for Assessing Clustering

# 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