{"action":"created","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6103","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6103/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6103/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6103/events","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6103","id":124380933,"number":6103,"title":"Add kernel entropy component analysis to sklearn.decompostition","user":{"login":"tsterbak","id":13310865,"avatar_url":"https://avatars.githubusercontent.com/u/13310865?v=3","gravatar_id":"","url":"https://api.github.com/users/tsterbak","html_url":"https://github.com/tsterbak","followers_url":"https://api.github.com/users/tsterbak/followers","following_url":"https://api.github.com/users/tsterbak/following{/other_user}","gists_url":"https://api.github.com/users/tsterbak/gists{/gist_id}","starred_url":"https://api.github.com/users/tsterbak/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tsterbak/subscriptions","organizations_url":"https://api.github.com/users/tsterbak/orgs","repos_url":"https://api.github.com/users/tsterbak/repos","events_url":"https://api.github.com/users/tsterbak/events{/privacy}","received_events_url":"https://api.github.com/users/tsterbak/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":14,"created_at":"2015-12-30T18:04:29Z","updated_at":"2016-01-01T18:28:35Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/pulls/6103","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6103","diff_url":"https://github.com/scikit-learn/scikit-learn/pull/6103.diff","patch_url":"https://github.com/scikit-learn/scikit-learn/pull/6103.patch"},"body":"This adds the functionality of *kernel entropy component analysis* to sklearn. \r\nIts a method similar to kernel PCA but based on an estimate of Rényi quadratic entropy. \r\n\r\n**I used this method for generating better features in a remote sensing context.**"},"comment":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/comments/168327089","html_url":"https://github.com/scikit-learn/scikit-learn/pull/6103#issuecomment-168327089","issue_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/6103","id":168327089,"user":{"login":"tsterbak","id":13310865,"avatar_url":"https://avatars.githubusercontent.com/u/13310865?v=3","gravatar_id":"","url":"https://api.github.com/users/tsterbak","html_url":"https://github.com/tsterbak","followers_url":"https://api.github.com/users/tsterbak/followers","following_url":"https://api.github.com/users/tsterbak/following{/other_user}","gists_url":"https://api.github.com/users/tsterbak/gists{/gist_id}","starred_url":"https://api.github.com/users/tsterbak/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tsterbak/subscriptions","organizations_url":"https://api.github.com/users/tsterbak/orgs","repos_url":"https://api.github.com/users/tsterbak/repos","events_url":"https://api.github.com/users/tsterbak/events{/privacy}","received_events_url":"https://api.github.com/users/tsterbak/received_events","type":"User","site_admin":false},"created_at":"2016-01-01T18:28:35Z","updated_at":"2016-01-01T18:28:35Z","body":"Yeah of course, entropy component analysis is a spectral method like PCA. There are just different \"directions\" selected as componends. So in some cases they lead to similar projections."}}