pyemb

• pyemb package
  • Submodules
  • pyemb.datasets module
    • load_lyon()
    • load_newsgroup()
    • load_planaria()
  • pyemb.embedding module
    • AUASE()
    • ISE()
    • OMNI()
    • UASE()
    • dyn_embed()
    • eigen_decomp()
    • embed()
    • regularised_ULSE()
  • pyemb.hc module
    • ConstructTree
      • ConstructTree.model
      • ConstructTree.point_cloud
      • ConstructTree.epsilon
      • ConstructTree.linkage
      • ConstructTree.tree
      • ConstructTree.collapsed_branches
      • ConstructTree.fit()
      • ConstructTree.plot()
    • DotProductAgglomerativeClustering
      • DotProductAgglomerativeClustering.distances_
      • DotProductAgglomerativeClustering.children_
      • DotProductAgglomerativeClustering.labels_
      • DotProductAgglomerativeClustering.n_clusters_
      • DotProductAgglomerativeClustering.n_connected_components_
      • DotProductAgglomerativeClustering.n_leaves_
      • DotProductAgglomerativeClustering.n_features_in_
      • DotProductAgglomerativeClustering.fit()
    • branch_lengths()
    • cophenetic_distances()
    • find_descendents()
    • get_ranking()
    • kendalltau_similarity()
    • linkage_matrix()
    • plot_dendrogram()
    • sample_hyperbolicity()
  • pyemb.plotting module
    • get_fig_legend_handles_labels()
    • quick_plot()
    • snapshot_plot()
  • pyemb.preprocessing module
    • find_connected_components()
    • find_subgraph()
    • graph_from_dataframes()
    • largest_cc_of()
    • time_series_matrix_and_attributes()
    • to_networkx()
  • pyemb.simulation module
    • SBM()
    • iid_SBM()
    • symmetrises()
  • pyemb.temp module
    • snapshot_plot()
  • pyemb.tools module
    • degree_correction()
    • recover_subspaces()
    • select()
    • to_laplacian()
    • varimax()
  • Module contents