pm4py.algo.clustering.profiles.algorithm module#

PM4Py – A Process Mining Library for Python Copyright (C) 2026 Process Intelligence Solutions GmbH

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class pm4py.algo.clustering.profiles.algorithm.Variants(*values)[source]#

Bases: Enum

SKLEARN_PROFILES = <module 'pm4py.algo.clustering.profiles.variants.sklearn_profiles' from '/home/javert/ALE/pm4py/pm4py/algo/clustering/profiles/variants/sklearn_profiles.py'>#
pm4py.algo.clustering.profiles.algorithm.apply(log: EventLog | EventStream | DataFrame, variant=Variants.SKLEARN_PROFILES, parameters: Dict[Any, Any] | None = None) → Generator[EventLog, None, None][source]#

Apply clustering to the provided event log (methods based on the extraction of profiles for the traces of the event log)

Implements the approach described in: Song, Minseok, Christian W. Günther, and Wil MP Van der Aalst. “Trace clustering in process mining.” Business Process Management Workshops: BPM 2008 International Workshops, Milano, Italy, September 1-4, 2008. Revised Papers 6. Springer Berlin Heidelberg, 2009.

Parameters:

  • log – Event log

  • variant – Variant of the clustering to be used, available values: - Variants.SKLEARN_PROFILES

  • parameters – Variant-specific parameters

Returns:

Generator of dataframes (clusters)

Return type:

generator