Index

B

branch_lengths() (in module pyemb.hc)

C

children_ (pyemb.hc.DotProductAgglomerativeClustering attribute) collapsed_branches (pyemb.hc.ConstructTree attribute)

ConstructTree (class in pyemb.hc) cophenetic_distances() (in module pyemb.hc)

D

degree_correction() (in module pyemb.tools) distances_ (pyemb.hc.DotProductAgglomerativeClustering attribute)

DotProductAgglomerativeClustering (class in pyemb.hc) dyn_embed() (in module pyemb.embedding)

E

eigen_decomp() (in module pyemb.embedding)

embed() (in module pyemb.embedding) epsilon (pyemb.hc.ConstructTree attribute)

F

find_connected_components() (in module pyemb.preprocessing) find_descendents() (in module pyemb.hc)

find_subgraph() (in module pyemb.preprocessing) fit() (pyemb.hc.ConstructTree method) (pyemb.hc.DotProductAgglomerativeClustering method)

G

get_fig_legend_handles_labels() (in module pyemb.plotting)

get_ranking() (in module pyemb.hc) graph_from_dataframes() (in module pyemb.preprocessing)

I

iid_SBM() (in module pyemb.simulation)

ISE() (in module pyemb.embedding)

K

kendalltau_similarity() (in module pyemb.hc)

L

labels_ (pyemb.hc.DotProductAgglomerativeClustering attribute) largest_cc_of() (in module pyemb.preprocessing) linkage (pyemb.hc.ConstructTree attribute)

linkage_matrix() (in module pyemb.hc) load_lyon() (in module pyemb.datasets) load_newsgroup() (in module pyemb.datasets) load_planaria() (in module pyemb.datasets)

M

model (pyemb.hc.ConstructTree attribute) module pyemb.datasets pyemb.embedding pyemb.hc pyemb.plotting pyemb.preprocessing pyemb.simulation pyemb.tools

N

n_clusters_ (pyemb.hc.DotProductAgglomerativeClustering attribute) n_connected_components_ (pyemb.hc.DotProductAgglomerativeClustering attribute)

n_features_in_ (pyemb.hc.DotProductAgglomerativeClustering attribute) n_leaves_ (pyemb.hc.DotProductAgglomerativeClustering attribute)

O

OMNI() (in module pyemb.embedding)

P

plot() (pyemb.hc.ConstructTree method) plot_dendrogram() (in module pyemb.hc) point_cloud (pyemb.hc.ConstructTree attribute) pyemb.datasets module pyemb.embedding module pyemb.hc module

pyemb.plotting module pyemb.preprocessing module pyemb.simulation module pyemb.tools module

Q

quick_plot() (in module pyemb.plotting)

R

recover_subspaces() (in module pyemb.tools)

regularised_ULSE() (in module pyemb.embedding)

S

sample_hyperbolicity() (in module pyemb.hc) SBM() (in module pyemb.simulation)

select() (in module pyemb.tools) snapshot_plot() (in module pyemb.plotting) symmetrises() (in module pyemb.simulation)

T

text_matrix_and_attributes() (in module pyemb.preprocessing) time_series_matrix_and_attributes() (in module pyemb.preprocessing)

to_laplacian() (in module pyemb.tools) to_networkx() (in module pyemb.preprocessing) tree (pyemb.hc.ConstructTree attribute)

U

UASE() (in module pyemb.embedding)

V

varimax() (in module pyemb.tools)

W

wasserstein_dimension_select() (in module pyemb.embedding)