{"action":"created","comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/comments/50635703","id":50635703,"diff_hunk":"@@ -18,17 +18,13 @@ data can be found in the ``labels_`` attribute.\n .. topic:: Input data\n \n     One important thing to note is that the algorithms implemented in\n-    this module take different kinds of matrix as input.  On one hand,\n-    :class:`MeanShift` and :class:`KMeans` take data matrices of shape\n-    [n_samples, n_features]. These can be obtained from the classes in\n-    the :mod:`sklearn.feature_extraction` module. On the other hand,\n-    :class:`AffinityPropagation` and :class:`SpectralClustering` take\n-    similarity matrices of shape [n_samples, n_samples].  These can be\n-    obtained from the functions in the :mod:`sklearn.metrics.pairwise`\n-    module. In other words, :class:`MeanShift` and :class:`KMeans` work\n-    with points in a vector space, whereas :class:`AffinityPropagation`\n-    and :class:`SpectralClustering` can work with arbitrary objects, as\n-    long as a similarity measure exists for such objects.\n+    this module can take different kinds of matrix as input. All the\n+    methods accept data matrices of shape [n_samples, n_features]. These","path":"doc/modules/clustering.rst","position":16,"original_position":16,"commit_id":"6a843f66b0ab27511cb340c2f5f63f0fe5a5fbfc","original_commit_id":"6a843f66b0ab27511cb340c2f5f63f0fe5a5fbfc","user":{"login":"GaelVaroquaux","id":208217,"avatar_url":"https://avatars.githubusercontent.com/u/208217?v=3","gravatar_id":"","url":"https://api.github.com/users/GaelVaroquaux","html_url":"https://github.com/GaelVaroquaux","followers_url":"https://api.github.com/users/GaelVaroquaux/followers","following_url":"https://api.github.com/users/GaelVaroquaux/following{/other_user}","gists_url":"https://api.github.com/users/GaelVaroquaux/gists{/gist_id}","starred_url":"https://api.github.com/users/GaelVaroquaux/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GaelVaroquaux/subscriptions","organizations_url":"https://api.github.com/users/GaelVaroquaux/orgs","repos_url":"https://api.github.com/users/GaelVaroquaux/repos","events_url":"https://api.github.com/users/GaelVaroquaux/events{/privacy}","received_events_url":"https://api.github.com/users/GaelVaroquaux/received_events","type":"User","site_admin":false},"body":"I would say \"...accept standard data matrices 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