immuneML.ml_methods.clustering package

Submodules

immuneML.ml_methods.clustering.AgglomerativeClustering module

immuneML.ml_methods.clustering.ClusteringMethod module

class immuneML.ml_methods.clustering.ClusteringMethod.ClusteringMethod(name: str = None)

Bases: object

Clustering methods are algorithms which can be used to cluster repertoires, receptors or sequences without using external label information (such as disease or antigen binding state)

These methods can be used in the Clustering instruction.

DOCS_TITLE = 'Clustering methods'

abstract fit(dataset: Dataset)

abstract fit_predict(dataset: Dataset)

abstract predict(dataset: Dataset)

abstract transform(dataset: Dataset)

immuneML.ml_methods.clustering.ClusteringMethod.get_data_for_clustering(dataset: Dataset)

immuneML.ml_methods.clustering.DBSCAN module

immuneML.ml_methods.clustering.KMeans module

Module contents