sklearn_clustering#

Source code: sensai/clustering/sklearn_clustering.py

class SkLearnClustererProtocol(*args, **kwargs)[source]#

Bases: Protocol

Only used for type hints, do not instantiate

fit(x: ndarray)[source]#
labels_: ndarray#
class SkLearnEuclideanClusterer(clusterer: SkLearnClustererProtocol, noise_label=- 1, min_cluster_size: Optional[int] = None, max_cluster_size: Optional[int] = None)[source]#

Bases: EuclideanClusterer

Wrapper around an sklearn-type clustering algorithm

Parameters:

  • clusterer – a clusterer object compatible the sklearn API

  • noise_label – label that is associated with the noise cluster or None

  • min_cluster_size – if not None, clusters below this size will be labeled as noise

  • max_cluster_size – if not None, clusters above this size will be labeled as noise