divik package

Unsupervised high-throughput data analysis methods

divik.plot(tree, with_size=False)

Plot visualization of splits.

divik.reject_split(tree, rejection_size=0)

Re-apply rejection condition on known result tree.

Return type

Optional[DivikResult]

Modules

divik.cluster	Clustering methods
divik.core	Reusable utilities used for building divik library
divik.feature_extraction	Unsupervised feature extraction methods
divik.feature_selection	Unsupervised feature selection methods
divik.sampler	Sampling methods for statistical indices computation purposes
divik.score