{"action":"created","issue":{"url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/177","labels_url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/177/labels{/name}","comments_url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/177/comments","events_url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/177/events","html_url":"https://github.com/openconnectome/Statistical-Connectomics-Class/issues/177","id":64604781,"number":177,"title":"Number of clusters in cluster evaluation","user":{"login":"dlee138","id":10763033,"avatar_url":"https://avatars.githubusercontent.com/u/10763033?v=3","gravatar_id":"","url":"https://api.github.com/users/dlee138","html_url":"https://github.com/dlee138","followers_url":"https://api.github.com/users/dlee138/followers","following_url":"https://api.github.com/users/dlee138/following{/other_user}","gists_url":"https://api.github.com/users/dlee138/gists{/gist_id}","starred_url":"https://api.github.com/users/dlee138/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dlee138/subscriptions","organizations_url":"https://api.github.com/users/dlee138/orgs","repos_url":"https://api.github.com/users/dlee138/repos","events_url":"https://api.github.com/users/dlee138/events{/privacy}","received_events_url":"https://api.github.com/users/dlee138/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2015-03-26T18:44:34Z","updated_at":"2015-03-31T03:22:29Z","closed_at":null,"body":"How would predetermining the number of clusters affect the effectiveness of different clustering algorithms?"},"comment":{"url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/comments/87920382","html_url":"https://github.com/openconnectome/Statistical-Connectomics-Class/issues/177#issuecomment-87920382","issue_url":"https://api.github.com/repos/openconnectome/Statistical-Connectomics-Class/issues/177","id":87920382,"user":{"login":"mrjiaruiwang","id":10777693,"avatar_url":"https://avatars.githubusercontent.com/u/10777693?v=3","gravatar_id":"","url":"https://api.github.com/users/mrjiaruiwang","html_url":"https://github.com/mrjiaruiwang","followers_url":"https://api.github.com/users/mrjiaruiwang/followers","following_url":"https://api.github.com/users/mrjiaruiwang/following{/other_user}","gists_url":"https://api.github.com/users/mrjiaruiwang/gists{/gist_id}","starred_url":"https://api.github.com/users/mrjiaruiwang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mrjiaruiwang/subscriptions","organizations_url":"https://api.github.com/users/mrjiaruiwang/orgs","repos_url":"https://api.github.com/users/mrjiaruiwang/repos","events_url":"https://api.github.com/users/mrjiaruiwang/events{/privacy}","received_events_url":"https://api.github.com/users/mrjiaruiwang/received_events","type":"User","site_admin":false},"created_at":"2015-03-31T03:22:29Z","updated_at":"2015-03-31T03:22:29Z","body":"You could try doing a cross-validation scheme (like k-fold CV) with different number of clusters. It might work out that there will be a bias-variance tradeoff though and you just have to make a judgement, or find the minimum bias given some threshold for variance"}}