BUG: fix test to use sparse array

Author: GaelVaroquaux

sklearn/cluster/tests/test_k_means.py

@@ -325,13 +325,13 @@ def test_minibatch_reassign():
     for this_X in (X, X_csr):
         mb_k_means = MiniBatchKMeans(n_clusters=n_clusters, batch_size=1,
                                      random_state=42)
-        mb_k_means.fit(X)
+        mb_k_means.fit(this_X)
         centers_before = mb_k_means.cluster_centers_.copy()
         try:
             old_stdout = sys.stdout
             sys.stdout = StringIO()
             # Turn on verbosity to smoke test the display code
-            _mini_batch_step(X, (X ** 2).sum(axis=1),
+            _mini_batch_step(this_X, (X ** 2).sum(axis=1),
                             mb_k_means.cluster_centers_,
                             mb_k_means.counts_, np.zeros(X.shape[1], np.double),
                             False, random_reassign=True, random_state=42,