@@ -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`.
@@ -1208,8 +1208,8 @@ class KMeans(_BaseKMeans):
12081208 in terms of inertia. Several runs are recommended for sparse
12091209 high-dimensional problems (see :ref:`kmeans_sparse_high_dim`).
12101210
1211- When `n_init='auto'`, the number of runs will be 10 if using
1212- `init='random'`, and 1 if using `init='kmeans++'`.
1211+ When `n_init='auto'`, the number of runs depends on the value of init:
1212+ 10 if using `init='random'`, 1 if using `init='kmeans++'`.
12131213
12141214 .. versionadded:: 1.2
12151215 Added 'auto' option for `n_init`.
@@ -1736,8 +1736,8 @@ class MiniBatchKMeans(_BaseKMeans):
17361736 recommended for sparse high-dimensional problems (see
17371737 :ref:`kmeans_sparse_high_dim`).
17381738
1739- When `n_init='auto'`, the number of runs will be 3 if using
1740- `init='random'`, and 1 if using `init='kmeans++'`.
1739+ When `n_init='auto'`, the number of runs depends on the value of init:
1740+ 3 if using `init='random'`, 1 if using `init='kmeans++'`.
17411741
17421742 .. versionadded:: 1.2
17431743 Added 'auto' option for `n_init`.
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