*************** Node Clustering *************** ^^^^^^^^ Overview ^^^^^^^^ .. currentmodule:: cdlib .. autoclass:: NodeClustering :members: :inherited-members: ^^^^^^^ Methods ^^^^^^^ Data transformation and I\O --------------------------- .. autosummary:: NodeClustering.to_json NodeClustering.to_node_community_map Evaluating Node Clustering -------------------------- .. autosummary:: NodeClustering.link_modularity NodeClustering.normalized_cut NodeClustering.internal_edge_density NodeClustering.average_internal_degree NodeClustering.fraction_over_median_degree NodeClustering.expansion NodeClustering.cut_ratio NodeClustering.edges_inside NodeClustering.conductance NodeClustering.max_odf NodeClustering.avg_odf NodeClustering.flake_odf NodeClustering.triangle_participation_ratio NodeClustering.size NodeClustering.newman_girvan_modularity NodeClustering.erdos_renyi_modularity NodeClustering.modularity_density NodeClustering.z_modularity NodeClustering.modularity_overlap NodeClustering.surprise NodeClustering.significance NodeClustering.scaled_density NodeClustering.avg_distance NodeClustering.hub_dominance NodeClustering.avg_transitivity NodeClustering.avg_embeddedness Comparing Node Clusterings -------------------------- .. autosummary:: NodeClustering.normalized_mutual_information NodeClustering.overlapping_normalized_mutual_information_MGH NodeClustering.overlapping_normalized_mutual_information_LFK NodeClustering.omega NodeClustering.f1 NodeClustering.nf1 NodeClustering.adjusted_rand_index NodeClustering.adjusted_mutual_information NodeClustering.variation_of_information NodeClustering.partition_closeness_simple NodeClustering.ecs NodeClustering.jaccard_index NodeClustering.rand_index NodeClustering.fowlkes_mallows_index NodeClustering.classification_error NodeClustering.czekanowski_index NodeClustering.dice_index NodeClustering.sorensen_index NodeClustering.rogers_tanimoto_index NodeClustering.southwood_index NodeClustering.mi NodeClustering.rmi NodeClustering.geometric_accuracy NodeClustering.overlap_quality NodeClustering.sample_expected_sim