def azp(X, w, n_clusters=5, **kwargs):
"""AZP clustering algorithm.
Parameters
----------
X : array-like
n x k attribute data
w : libpysal.weights.W instance
spatial weights matrix
n_clusters : int, optional, default: 5
The number of clusters to form.
Returns
-------
fitted cluster instance: region.p_regions.azp.AZP
"""
model = AZP()
model.fit_from_w(attr=X.values, w=w, n_regions=n_clusters)
return model
def test_w_basic():
cluster_object = AZP(random_state=0)
cluster_object.fit_from_w(w, attr, n_regions=2)
result = region_list_from_array(cluster_object.labels_)
compare_region_lists(result, optimal_clustering)
