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 |

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_gaussian_data |
Generate a set of data points from Gaussian distribution |

hir_clust_from_adj_mat |
Hierarchical clustering from adjacency matrix |

indicator_matrix |
Build indicator matrix |

lebel_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_consensus_matrix |
Calculate consensus matrix for multi-data consensus clustering |

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 |