diff --git a/sklearn/neighbors/_base.py b/sklearn/neighbors/_base.py
index 54cf473b2ab75..820b83eca1845 100644
--- a/sklearn/neighbors/_base.py
+++ b/sklearn/neighbors/_base.py
@@ -667,7 +667,7 @@ class from an array representing our data set and ask who's
             if self.effective_metric_ == 'precomputed':
                 X = _check_precomputed(X)
             else:
-                X = check_array(X, accept_sparse='csr')
+                X = self._validate_data(X, accept_sparse='csr', reset=False)
         else:
             query_is_train = True
             X = self._fit_X
@@ -982,7 +982,7 @@ class from an array representing our data set and ask who's
             if self.effective_metric_ == 'precomputed':
                 X = _check_precomputed(X)
             else:
-                X = check_array(X, accept_sparse='csr')
+                X = self._validate_data(X, accept_sparse='csr', reset=False)
         else:
             query_is_train = True
             X = self._fit_X
diff --git a/sklearn/neighbors/_classification.py b/sklearn/neighbors/_classification.py
index 9cd08e0c39a1d..71b869977f6aa 100644
--- a/sklearn/neighbors/_classification.py
+++ b/sklearn/neighbors/_classification.py
@@ -17,7 +17,6 @@
 from ._base import _check_weights, _get_weights
 from ._base import NeighborsBase, KNeighborsMixin, RadiusNeighborsMixin
 from ..base import ClassifierMixin
-from ..utils import check_array
 from ..utils.validation import _deprecate_positional_args
 
 
@@ -192,7 +191,7 @@ def predict(self, X):
         y : ndarray of shape (n_queries,) or (n_queries, n_outputs)
             Class labels for each data sample.
         """
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
 
         neigh_dist, neigh_ind = self.kneighbors(X)
         classes_ = self.classes_
@@ -236,7 +235,7 @@ def predict_proba(self, X):
             The class probabilities of the input samples. Classes are ordered
             by lexicographic order.
         """
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
 
         neigh_dist, neigh_ind = self.kneighbors(X)
 
@@ -545,7 +544,7 @@ def predict_proba(self, X):
             by lexicographic order.
         """
 
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
         n_queries = _num_samples(X)
 
         neigh_dist, neigh_ind = self.radius_neighbors(X)
diff --git a/sklearn/neighbors/_nca.py b/sklearn/neighbors/_nca.py
index 8920b2d99ed02..a4ef02b687d97 100644
--- a/sklearn/neighbors/_nca.py
+++ b/sklearn/neighbors/_nca.py
@@ -263,7 +263,7 @@ def transform(self, X):
         """
 
         check_is_fitted(self)
-        X = check_array(X)
+        X = self._validate_data(X, reset=False)
 
         return np.dot(X, self.components_.T)
 
diff --git a/sklearn/neighbors/_nearest_centroid.py b/sklearn/neighbors/_nearest_centroid.py
index ededb2afd877a..0c726cdc0a62c 100644
--- a/sklearn/neighbors/_nearest_centroid.py
+++ b/sklearn/neighbors/_nearest_centroid.py
@@ -15,7 +15,7 @@
 from ..base import BaseEstimator, ClassifierMixin
 from ..metrics.pairwise import pairwise_distances
 from ..preprocessing import LabelEncoder
-from ..utils.validation import check_array, check_is_fitted
+from ..utils.validation import check_is_fitted
 from ..utils.validation import _deprecate_positional_args
 from ..utils.sparsefuncs import csc_median_axis_0
 from ..utils.multiclass import check_classification_targets
@@ -201,6 +201,6 @@ def predict(self, X):
         """
         check_is_fitted(self)
 
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
         return self.classes_[pairwise_distances(
             X, self.centroids_, metric=self.metric).argmin(axis=1)]
diff --git a/sklearn/neighbors/_regression.py b/sklearn/neighbors/_regression.py
index 9bf28f037294a..d3878cd54aa06 100644
--- a/sklearn/neighbors/_regression.py
+++ b/sklearn/neighbors/_regression.py
@@ -17,7 +17,6 @@
 from ._base import _get_weights, _check_weights
 from ._base import NeighborsBase, KNeighborsMixin, RadiusNeighborsMixin
 from ..base import RegressorMixin
-from ..utils import check_array
 from ..utils.validation import _deprecate_positional_args
 from ..utils.deprecation import deprecated
 
@@ -203,7 +202,7 @@ def predict(self, X):
         y : ndarray of shape (n_queries,) or (n_queries, n_outputs), dtype=int
             Target values.
         """
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
 
         neigh_dist, neigh_ind = self.kneighbors(X)
 
@@ -392,7 +391,7 @@ def predict(self, X):
                 dtype=double
             Target values.
         """
-        X = check_array(X, accept_sparse='csr')
+        X = self._validate_data(X, accept_sparse='csr', reset=False)
 
         neigh_dist, neigh_ind = self.radius_neighbors(X)
 
diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
index b900f94231419..864607beb8c7e 100644
--- a/sklearn/tests/test_common.py
+++ b/sklearn/tests/test_common.py
@@ -279,7 +279,6 @@ def test_search_cv(estimator, check, request):
     'multiclass',
     'multioutput',
     'naive_bayes',
-    'neighbors',
     'pipeline',
     'random_projection',
     'semi_supervised',