Python Package genieclust Reference

genieclust.Genie([n_clusters, ...])	Genie++ hierarchical clustering algorithm
genieclust.GIc([n_clusters, ...])	GIc (Genie+Information Criterion) clustering algorithm
genieclust.cluster_validity	Internal cluster validity indices
genieclust.compare_partitions	External cluster validity measures and partition similarity scores
genieclust.inequality	Inequality measures
genieclust.internal	Internal functions and classes
genieclust.plots	Various plotting functions
genieclust.tools	Functions one might find useful, but not necessarily

Modules and Classes:

• genieclust.Genie
  • Genie
• genieclust.GIc
  • GIc
• genieclust.cluster_validity
  • calinski_harabasz_index()
  • dunnowa_index()
  • generalised_dunn_index()
  • negated_ball_hall_index()
  • negated_davies_bouldin_index()
  • negated_wcss_index()
  • silhouette_index()
  • silhouette_w_index()
  • wcnn_index()
• genieclust.compare_partitions
  • adjusted_fm_score()
  • adjusted_mi_score()
  • adjusted_rand_score()
  • compare_partitions()
  • confusion_matrix()
  • fm_score()
  • mi_score()
  • normalize_confusion_matrix()
  • normalized_clustering_accuracy()
  • normalized_confusion_matrix()
  • normalized_mi_score()
  • normalized_pivoted_accuracy()
  • normalizing_permutation()
  • pair_sets_index()
  • rand_score()
• genieclust.inequality
  • bonferroni_index()
  • devergottini_index()
  • gini_index()
• genieclust.internal
  • DisjointSets
  • GiniDisjointSets
• genieclust.plots
  • plot_scatter()
  • plot_segments()
• genieclust.tools
  • argkmin()
  • cummax()
  • cummin()