pm4py.algo.clustering.trace_attribute_driven.algorithm module#

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

Bases: Enum

VARIANT_DMM_LEVEN(percent, alpha)#
VARIANT_AVG_LEVEN(percent, alpha)#
VARIANT_DMM_VEC(percent, alpha)#
VARIANT_AVG_VEC(percent, alpha)#
DFG = <module 'pm4py.algo.clustering.trace_attribute_driven.dfg.dfg_dist' from '/home/javert/ALE/pm4py/pm4py/algo/clustering/trace_attribute_driven/dfg/dfg_dist.py'>#
pm4py.algo.clustering.trace_attribute_driven.algorithm.bfs(tree)[source]#
pm4py.algo.clustering.trace_attribute_driven.algorithm.apply(log: EventLog | EventStream | DataFrame, trace_attribute: str, variant=<function eval_DMM_leven>, parameters: Any, ~typing.Any] | None=None) → Any[source]#

Apply the hierarchical clustering to a log starting from a trace attribute.

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Parameters:

  • log – Log

  • trace_attribute – Trace attribute to exploit for the clustering

  • variant – Variant of the algorithm to apply, possible values: - Variants.VARIANT_DMM_LEVEN (that is the default) - Variants.VARIANT_AVG_LEVEN - Variants.VARIANT_DMM_VEC - Variants.VARIANT_AVG_VEC - Variants.DFG

Returns:

  • tree – Hierarchical cluster tree

  • leafname – Root node