Python Package genieclust Reference

genieclust.Genie([n_clusters, ...])	Genie: Fast and Robust Hierarchical Clustering
genieclust.GIc([n_clusters, ...])	GIc (Genie+Information Criterion) clustering algorithm
genieclust.compare_partitions	External cluster validity measures and partition similarity scores
genieclust.core	Auxiliary functions and classes
genieclust.cluster_validity	Internal cluster validity indices
genieclust.inequality	Inequality measures

Modules and Classes:

• genieclust
  • Genie
  • GIc
• 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.core
  • DisjointSets
  • GiniDisjointSets
• 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.inequality
  • bonferroni_index()
  • devergottini_index()
  • gini_index()