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[MRG] Modify description of 'X' in k_means_.py fit methods. #7776

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[MRG] Modify description of 'X' in k_means_.py fit methods. #7776

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9 changes: 7 additions & 2 deletions sklearn/cluster/k_means_.py
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Original file line number Diff line number Diff line change
Expand Up @@ -874,6 +874,9 @@ def fit(self, X, y=None):
Parameters
----------
X : array-like or sparse matrix, shape=(n_samples, n_features)
Numerical matrix of training samples to cluster. Each row
will represent a single training sample, a point in space of
'n_features' dimensions.
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This is the first draft of description. Commenting here so that this can be seen directly in PR conversation even after this diff gets outdated by any modifications.

"""
random_state = check_random_state(self.random_state)
X = self._check_fit_data(X)
Expand Down Expand Up @@ -1308,8 +1311,10 @@ def fit(self, X, y=None):

Parameters
----------
X : array-like, shape = [n_samples, n_features]
Coordinates of the data points to cluster
X : array-like or sparse matrix, shape=(n_samples, n_features)
Numerical matrix of training samples to cluster. Each row
will represent a single training sample, a point in space of
'n_features' dimensions.
"""
random_state = check_random_state(self.random_state)
X = check_array(X, accept_sparse="csr", order='C',
Expand Down