Exemplo n.º 1
0
def test_dict_multi_attr():
    cluster_object = AZPReactiveTabu(max_iterations=max_it, k1=k1, k2=k2,
                                     random_state=0)
    cluster_object.fit_from_dict(neighbors_dict, double_attr_dict,
                                 n_regions=n_reg)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)
Exemplo n.º 2
0
def test_dict():
    value_dict = dataframe_to_dict(gdf, attr_str)
    cluster_object = AZPReactiveTabu(max_iterations=max_it, k1=k1, k2=k2,
                                     random_state=0)
    cluster_object.fit_from_dict(neighbors_dict, value_dict, n_regions=n_reg)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)