Logit                   Logit function
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
majority_voting         Consensus mechanism based on majority voting
multi_cluster_gen       Multiple cluster generation
multi_kmeans_gen        Multiple K-means generation
multi_pam_gen           Multiple PAM (K-medoids) generation
multiview_cluster_gen   Multiview cluster generation
multiview_clusters      Generate multiview clusters from Gaussian
                        distributions with randomly generated
                        parameters
multiview_kmeans_gen    Multiview K-means generation
multiview_pam_gen       Multiview 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
