modern:scikit-learn erg$ [master*] nosetests -v
Affinity Propagation algorithm ... ok
Tests the DBSCAN algorithm with a similarity array. ... ok
Tests the DBSCAN algorithm with a feature vector array. ... ok
Tests the DBSCAN algorithm with a callable metric. ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
Check that we obtain the correct solution for structured ward tree. ... ok
Check that we obtain the correct solution for unstructured ward tree. ... ok
Check that the height of ward tree is sorted. ... ok
Check that we obtain the correct number of clusters with Ward clustering. ... ok
Check that we obtain the correct solution in a simplistic case ... ok
Test scikit ward with full connectivity (i.e. unstructured) vs scipy ... ok
Check that connectivity in the ward tree is propagated correctly during ... ok
Check non regression of a bug if a non item assignable connectivity is ... ok
sklearn.cluster.tests.test_k_means.test_square_norms ... ok
sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignement_and_inertia ... ok
Check that dense and sparse minibatch update give the same results ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... Python(33971) malloc: *** error for object 0x10dae4000: pointer being freed already on death-row
*** set a breakpoint in malloc_error_break to debug
Python(33972) malloc: *** error for object 0x10daa3000: pointer being freed already on death-row