@@ -345,8 +345,8 @@ def k_means(
345345 centroid seeds. The final results will be the best output of
346346 n_init consecutive runs in terms of inertia.
347347
348- When `n_init='auto'`, the number of runs will be 10 if using
349- `init='random'`, and 1 if using `init='kmeans++'`.
348+ When `n_init='auto'`, the number of runs depends on the value of init:
349+ 10 if using `init='random'`, 1 if using `init='kmeans++'`.
350350
351351 .. versionadded:: 1.2
352352 Added 'auto' option for `n_init`.
@@ -1196,8 +1196,8 @@ class KMeans(_BaseKMeans):
11961196 in terms of inertia. Several runs are recommended for sparse
11971197 high-dimensional problems (see :ref:`kmeans_sparse_high_dim`).
11981198
1199- When `n_init='auto'`, the number of runs will be 10 if using
1200- `init='random'`, and 1 if using `init='kmeans++'`.
1199+ When `n_init='auto'`, the number of runs depends on the value of init:
1200+ 10 if using `init='random'`, 1 if using `init='kmeans++'`.
12011201
12021202 .. versionadded:: 1.2
12031203 Added 'auto' option for `n_init`.
@@ -1724,8 +1724,8 @@ class MiniBatchKMeans(_BaseKMeans):
17241724 recommended for sparse high-dimensional problems (see
17251725 :ref:`kmeans_sparse_high_dim`).
17261726
1727- When `n_init='auto'`, the number of runs will be 3 if using
1728- `init='random'`, and 1 if using `init='kmeans++'`.
1727+ When `n_init='auto'`, the number of runs depends on the value of init:
1728+ 3 if using `init='random'`, 1 if using `init='kmeans++'`.
17291729
17301730 .. versionadded:: 1.2
17311731 Added 'auto' option for `n_init`.
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