def METHOD_NAME():
    """Test single cluster."""
    X = np.array([[1, 2], [10, 2], [10, 8]])
    bisect_means = BisectingKMeans(n_clusters=1, random_state=0).fit(X)
    # All labels from fit or predict should be equal 0
    assert all(bisect_means.labels_ == 0)
    assert all(bisect_means.predict(X) == 0)
    assert_allclose(bisect_means.cluster_centers_, X.mean(axis=0).reshape(1, -1))