def get_parameters(self):
        run_parameters = []
        max_clusters = self.parameters["clustering"]["evaluation"]["maximum_clusters"]
        min_clusters = self.parameters["clustering"]["evaluation"]["minimum_clusters"]
        sizes = range(min_clusters,max_clusters+1,ParametersGenerator.CLUSTERING_SIZE_STEP)
        for one_size in sizes:
            run_parameter = ParametersGenerator.get_base_parameters()
            run_parameter["num_clusters"]  = one_size
            run_parameters.append(run_parameter)

        return run_parameters, []
This function creates some parameters to be used with the random algorithm.
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/clustering/algorithms/random/parametersGeneration.py/ParametersGenerator.get_parameters