コード例 #1
0
def test_dict_multi_attr():
    cluster_object = AZPBasicTabu(random_state=0)
    cluster_object.fit_from_dict(neighbors_dict, double_attr_dict, n_regions=2)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)
コード例 #2
0
def test_dict():
    value_dict = dataframe_to_dict(gdf, attr_str)
    cluster_object = AZPBasicTabu(random_state=0)
    cluster_object.fit_from_dict(neighbors_dict, value_dict, n_regions=2)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)