Source code for pm4py.algo.enhancement.sna.util

'''
    This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).

    PM4Py is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    PM4Py is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with PM4Py.  If not, see <https://www.gnu.org/licenses/>.
'''
from typing import List, Any, Dict


[docs]def cluster_affinity_propagation(sna_results: List[List[Any]], parameters=None) -> Dict[str, List[str]]: """ Performs a clustering using the affinity propagation algorithm provided by Scikit Learn Parameters -------------- sna_results Values for a SNA metric parameters Parameters of the algorithm Returns -------------- clustering Dictionary that contains, for each cluster that has been identified, the list of resources of the cluster """ from sklearn.cluster import AffinityPropagation if parameters is None: parameters = {} matrix = sna_results[0] originators = sna_results[1] affinity_propagation = AffinityPropagation(**parameters) affinity_propagation.fit(matrix) clusters = affinity_propagation.predict(matrix) ret = {} for i in range(len(clusters)): res = originators[i] cluster = str(clusters[i]) if cluster not in ret: ret[cluster] = [] ret[cluster].append(res) return ret