{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5085","repository_url":"https://api.github.com/repos/scikit-learn/scikit-learn","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5085/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5085/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5085/events","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5085","id":99038657,"number":5085,"title":"Adding K-Medoids clustering algorithm ","user":{"login":"terkkila","id":1221677,"avatar_url":"https://avatars.githubusercontent.com/u/1221677?v=3","gravatar_id":"","url":"https://api.github.com/users/terkkila","html_url":"https://github.com/terkkila","followers_url":"https://api.github.com/users/terkkila/followers","following_url":"https://api.github.com/users/terkkila/following{/other_user}","gists_url":"https://api.github.com/users/terkkila/gists{/gist_id}","starred_url":"https://api.github.com/users/terkkila/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/terkkila/subscriptions","organizations_url":"https://api.github.com/users/terkkila/orgs","repos_url":"https://api.github.com/users/terkkila/repos","events_url":"https://api.github.com/users/terkkila/events{/privacy}","received_events_url":"https://api.github.com/users/terkkila/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/labels/New%20Feature","name":"New Feature","color":"02e10c"}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":28,"created_at":"2015-08-04T19:02:55Z","updated_at":"2016-08-26T20:38:07Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/5085","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5085","diff_url":"https://github.com/scikit-learn/scikit-learn/pull/5085.diff","patch_url":"https://github.com/scikit-learn/scikit-learn/pull/5085.patch"},"body":"Added K-Medoids clustering algorithm\r\n- Introducing new KMedoids class, which is derived from the BaseEstimator\r\n- Unit test coverage 91%\r\n- Unit tests passing: `nosetests -v sklearn/cluster/tests/test_k_medoids.py`\r\n- Code is documented\r\n- Example script: `python examples/cluster/plot_kmedoids_digits.py`\r\n"},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/242845204","html_url":"https://github.com/scikit-learn/scikit-learn/pull/5085#issuecomment-242845204","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/5085","id":242845204,"user":{"login":"amueller","id":449558,"avatar_url":"https://avatars.githubusercontent.com/u/449558?v=3","gravatar_id":"","url":"https://api.github.com/users/amueller","html_url":"https://github.com/amueller","followers_url":"https://api.github.com/users/amueller/followers","following_url":"https://api.github.com/users/amueller/following{/other_user}","gists_url":"https://api.github.com/users/amueller/gists{/gist_id}","starred_url":"https://api.github.com/users/amueller/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/amueller/subscriptions","organizations_url":"https://api.github.com/users/amueller/orgs","repos_url":"https://api.github.com/users/amueller/repos","events_url":"https://api.github.com/users/amueller/events{/privacy}","received_events_url":"https://api.github.com/users/amueller/received_events","type":"User","site_admin":false},"created_at":"2016-08-26T20:38:06Z","updated_at":"2016-08-26T20:38:06Z","body":"there's no dtw in scipy, right?\r\n\r\n@bmcfee you're gonna contribute upstream, IIRC ;)\r\n\r\nIt sounds like an awesome example, but without the metric being in scipy, no dice.\r\nEMD would also be cool, but same problem."}}
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