keep n_init parameters for kmeans (#179)

See
scikit-learn/scikit-learn@0d923da.
It's unclear how this change will affect the results, so keeping the
behavior is better.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>

mddatasetbuilder/datasetbuilder.py

@@ -358,7 +358,7 @@ def _clusterdatas(cls, X, n_clusters, n_each=1):
         min_max_scaler = preprocessing.MinMaxScaler()
         X = np.array(min_max_scaler.fit_transform(X))
         clus = MiniBatchKMeans(
-            n_clusters=n_clusters, init_size=(min(3 * n_clusters, len(X)))
+            n_clusters=n_clusters, init_size=(min(3 * n_clusters, len(X))), n_init=3
         )
         labels = clus.fit_predict(X)
         choosedidx = []