{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/435","repository_url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn","labels_url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/435/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/435/comments","events_url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/435/events","html_url":"https://github.com/scikit-learn-contrib/imbalanced-learn/pull/435","id":334798662,"node_id":"MDExOlB1bGxSZXF1ZXN0MTk2Njc2MzQ4","number":435,"title":"[MRG] K-Means SMOTE implementation","user":{"login":"StephanHeijl","id":3799160,"node_id":"MDQ6VXNlcjM3OTkxNjA=","avatar_url":"https://avatars2.githubusercontent.com/u/3799160?v=4","gravatar_id":"","url":"https://api.github.com/users/StephanHeijl","html_url":"https://github.com/StephanHeijl","followers_url":"https://api.github.com/users/StephanHeijl/followers","following_url":"https://api.github.com/users/StephanHeijl/following{/other_user}","gists_url":"https://api.github.com/users/StephanHeijl/gists{/gist_id}","starred_url":"https://api.github.com/users/StephanHeijl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/StephanHeijl/subscriptions","organizations_url":"https://api.github.com/users/StephanHeijl/orgs","repos_url":"https://api.github.com/users/StephanHeijl/repos","events_url":"https://api.github.com/users/StephanHeijl/events{/privacy}","received_events_url":"https://api.github.com/users/StephanHeijl/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":7,"created_at":"2018-06-22T08:55:08Z","updated_at":"2018-07-12T14:11:24Z","closed_at":null,"author_association":"NONE","pull_request":{"url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/pulls/435","html_url":"https://github.com/scikit-learn-contrib/imbalanced-learn/pull/435","diff_url":"https://github.com/scikit-learn-contrib/imbalanced-learn/pull/435.diff","patch_url":"https://github.com/scikit-learn-contrib/imbalanced-learn/pull/435.patch"},"body":"#### What does this implement/fix? Explain your changes.\r\nThis pull request implements K-Means SMOTE, as described in [ Oversampling for Imbalanced Learning Based on K-Means and SMOTE](https://arxiv.org/abs/1711.00837) by Last et al.\r\n\r\n#### Any other comments?\r\nThe density estimation function has been changed slightly from the reference paper, as the power term yielded very large numbers. This caused the weighting to favour a single cluster.\r\n"},"comment":{"url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/comments/404525886","html_url":"https://github.com/scikit-learn-contrib/imbalanced-learn/pull/435#issuecomment-404525886","issue_url":"https://api.github.com/repos/scikit-learn-contrib/imbalanced-learn/issues/435","id":404525886,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNDUyNTg4Ng==","user":{"login":"StephanHeijl","id":3799160,"node_id":"MDQ6VXNlcjM3OTkxNjA=","avatar_url":"https://avatars2.githubusercontent.com/u/3799160?v=4","gravatar_id":"","url":"https://api.github.com/users/StephanHeijl","html_url":"https://github.com/StephanHeijl","followers_url":"https://api.github.com/users/StephanHeijl/followers","following_url":"https://api.github.com/users/StephanHeijl/following{/other_user}","gists_url":"https://api.github.com/users/StephanHeijl/gists{/gist_id}","starred_url":"https://api.github.com/users/StephanHeijl/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/StephanHeijl/subscriptions","organizations_url":"https://api.github.com/users/StephanHeijl/orgs","repos_url":"https://api.github.com/users/StephanHeijl/repos","events_url":"https://api.github.com/users/StephanHeijl/events{/privacy}","received_events_url":"https://api.github.com/users/StephanHeijl/received_events","type":"User","site_admin":false},"created_at":"2018-07-12T14:11:24Z","updated_at":"2018-07-12T14:11:24Z","author_association":"NONE","body":"@glemaitre I took some time to work out the last kinks and implement the edge cases from the paper, but I believe this can be subjected to a thorough review."}}
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