Man pages for ConsensusClustering
Consensus Clustering

adj_convConvert adjacency function to the affinity matrix
adj_matCovert data matrix to adjacency matrix
cc_cluster_countCount the number of clusters based on stability score.
cluster_relabelRelabeling clusters based on cluster similarities
coCluster_matrixCalculate the Co-cluster matrix for a given set of clustering...
connectivity_matrixBuild connectivity matrix
consensus_matrixCalculate consensus matrix for data perturbation consensus...
consensus_matrix_data_prtrbCalculate consensus matrix for data perturbation consensus...
consensus_matrix_multiviewCalculate consensus matrix for multi-data consensus...
gaussian_clustersGenerate clusters of data points from Gaussian distribution...
gaussian_clusters_with_paramGenerate clusters of data points from Gaussian distribution...
gaussian_mixture_clustersGenerate clusters of data points from Gaussian-mixture-model...
generate_data_prtrbGeneration mechanism for data perturbation consensus...
generate_gaussian_dataGenerate a set of data points from Gaussian distribution
generate_method_prtrbMultiple method generation
generate_multiviewMultiview generation
hir_clust_from_adj_matHierarchical clustering from adjacency matrix
indicator_matrixBuild indicator matrix
label_similaritySimilarity between different clusters
LogitLogit function
majority_votingConsensus mechanism based on majority voting
multi_cluster_genMultiple cluster generation
multi_kmeans_genMultiple K-means generation
multi_pam_genMultiple PAM (K-medoids) generation
multiview_cluster_genMultiview cluster generation
multiview_clustersGenerate multiview clusters from Gaussian distributions with...
multiview_kmeans_genMultiview K-means generation
multiview_pam_genMultiview PAM (K-medoids) generation
pam_clust_from_adj_matPAM (k-medoids) clustering from adjacency matrix
spect_clust_from_adj_matSpectral clustering from adjacency matrix
ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.