{"action":"closed","issue":{"url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/issues/47","labels_url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/issues/47/labels{/name}","comments_url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/issues/47/comments","events_url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/issues/47/events","html_url":"https://github.com/SLU-TMI/TextMining.jl/issues/47","id":58978461,"number":47,"title":"Elbow Method","user":{"login":"mtabor150","id":3707936,"avatar_url":"https://avatars.githubusercontent.com/u/3707936?v=3","gravatar_id":"","url":"https://api.github.com/users/mtabor150","html_url":"https://github.com/mtabor150","followers_url":"https://api.github.com/users/mtabor150/followers","following_url":"https://api.github.com/users/mtabor150/following{/other_user}","gists_url":"https://api.github.com/users/mtabor150/gists{/gist_id}","starred_url":"https://api.github.com/users/mtabor150/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mtabor150/subscriptions","organizations_url":"https://api.github.com/users/mtabor150/orgs","repos_url":"https://api.github.com/users/mtabor150/repos","events_url":"https://api.github.com/users/mtabor150/events{/privacy}","received_events_url":"https://api.github.com/users/mtabor150/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/labels/function","name":"function","color":"fbca04"}],"state":"closed","locked":false,"assignee":{"login":"Kevin-Damazyn","id":5428195,"avatar_url":"https://avatars.githubusercontent.com/u/5428195?v=3","gravatar_id":"","url":"https://api.github.com/users/Kevin-Damazyn","html_url":"https://github.com/Kevin-Damazyn","followers_url":"https://api.github.com/users/Kevin-Damazyn/followers","following_url":"https://api.github.com/users/Kevin-Damazyn/following{/other_user}","gists_url":"https://api.github.com/users/Kevin-Damazyn/gists{/gist_id}","starred_url":"https://api.github.com/users/Kevin-Damazyn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Kevin-Damazyn/subscriptions","organizations_url":"https://api.github.com/users/Kevin-Damazyn/orgs","repos_url":"https://api.github.com/users/Kevin-Damazyn/repos","events_url":"https://api.github.com/users/Kevin-Damazyn/events{/privacy}","received_events_url":"https://api.github.com/users/Kevin-Damazyn/received_events","type":"User","site_admin":false},"milestone":{"url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/milestones/1","html_url":"https://github.com/SLU-TMI/TextMining.jl/milestones/Clustering","labels_url":"https://api.github.com/repos/SLU-TMI/TextMining.jl/milestones/1/labels","id":977657,"number":1,"title":"Clustering","description":"","creator":{"login":"mtabor150","id":3707936,"avatar_url":"https://avatars.githubusercontent.com/u/3707936?v=3","gravatar_id":"","url":"https://api.github.com/users/mtabor150","html_url":"https://github.com/mtabor150","followers_url":"https://api.github.com/users/mtabor150/followers","following_url":"https://api.github.com/users/mtabor150/following{/other_user}","gists_url":"https://api.github.com/users/mtabor150/gists{/gist_id}","starred_url":"https://api.github.com/users/mtabor150/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mtabor150/subscriptions","organizations_url":"https://api.github.com/users/mtabor150/orgs","repos_url":"https://api.github.com/users/mtabor150/repos","events_url":"https://api.github.com/users/mtabor150/events{/privacy}","received_events_url":"https://api.github.com/users/mtabor150/received_events","type":"User","site_admin":false},"open_issues":3,"closed_issues":3,"state":"open","created_at":"2015-02-12T23:29:07Z","updated_at":"2015-03-02T21:56:09Z","due_on":null,"closed_at":null},"comments":1,"created_at":"2015-02-25T22:11:01Z","updated_at":"2015-03-02T21:56:09Z","closed_at":"2015-03-02T21:56:09Z","body":"Make semi automated [elbow method](http://en.wikipedia.org/wiki/Determining_the_number_of_clusters_in_a_data_set#The_Elbow_Method) function to display average distance to centroid using kmeans, given a range of k. \r\n```julia\r\nelbow(k_range, vectors, distance_function)  \r\n```\r\nIt should print a graph and return a 2xN array of k and the corresponding average distance."}}