R: Consensus Clustering

# Consensus Clustering

## Documentation for package ‘ConsensusClustering’ version 1.5.0

- DESCRIPTION file

## Help Pages

adj_conv | Convert adjacency function to the affinity matrix
adj_mat | Covert data matrix to adjacency matrix
cc_cluster_count | Count the number of clusters based on stability score.
cluster_relabel | Relabeling clusters based on cluster similarities
coCluster_matrix | Calculate the Co-cluster matrix for a given set of clustering results.
connectivity_matrix | Build connectivity matrix
consensus_matrix | Calculate consensus matrix for data perturbation consensus clustering
consensus_matrix_data_prtrb | Calculate consensus matrix for data perturbation consensus clustering
consensus_matrix_multiview | Calculate consensus matrix for multi-data consensus clustering
gaussian_clusters | Generate clusters of data points from Gaussian distribution with randomly generated parameters
gaussian_clusters_with_param | Generate clusters of data points from Gaussian distribution with given parameters
gaussian_mixture_clusters | Generate clusters of data points from Gaussian-mixture-model distributions with randomly generated parameters
generate_data_prtrb | Generation mechanism for data perturbation consensus clustering
generate_gaussian_data | Generate a set of data points from Gaussian distribution
generate_method_prtrb | Multiple method generation
generate_multiview | Multiview generation
hir_clust_from_adj_mat | Hierarchical clustering from adjacency matrix
indicator_matrix | Build indicator matrix
label_similarity | Similarity between different clusters
Logit | Logit function
majority_voting | Consensus mechanism based on majority voting
multiview_clusters | Generate multiview clusters from Gaussian distributions with randomly generated parameters
multiview_cluster_gen | Multiview cluster generation
multiview_kmeans_gen | Multiview K-means generation
multiview_pam_gen | Multiview PAM (K-medoids) generation
multi_cluster_gen | Multiple cluster generation
multi_kmeans_gen | Multiple K-means generation
multi_pam_gen | Multiple PAM (K-medoids) generation
pam_clust_from_adj_mat | PAM (k-medoids) clustering from adjacency matrix
spect_clust_from_adj_mat | Spectral clustering from adjacency matrix