{"action":"created","issue":{"url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/27","repository_url":"https://api.github.com/repos/JuliaStats/Clustering.jl","labels_url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/27/labels{/name}","comments_url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/27/comments","events_url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/27/events","html_url":"https://github.com/JuliaStats/Clustering.jl/issues/27","id":39420896,"number":27,"title":"Offering non-classical hierarchical clustering techniques within scope?","user":{"login":"tlnagy","id":1661487,"avatar_url":"https://avatars.githubusercontent.com/u/1661487?v=3","gravatar_id":"","url":"https://api.github.com/users/tlnagy","html_url":"https://github.com/tlnagy","followers_url":"https://api.github.com/users/tlnagy/followers","following_url":"https://api.github.com/users/tlnagy/following{/other_user}","gists_url":"https://api.github.com/users/tlnagy/gists{/gist_id}","starred_url":"https://api.github.com/users/tlnagy/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tlnagy/subscriptions","organizations_url":"https://api.github.com/users/tlnagy/orgs","repos_url":"https://api.github.com/users/tlnagy/repos","events_url":"https://api.github.com/users/tlnagy/events{/privacy}","received_events_url":"https://api.github.com/users/tlnagy/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2014-08-04T13:36:20Z","updated_at":"2016-07-27T17:15:46Z","closed_at":null,"body":"Is it within the scope of this package to provide some more modern HC techniques (e.g. ROCK/CURE, BIRCH, etc)? Classical HC techniques (single-linkage, centroid linkage, etc) lack robustness and are sensitive to noise/outliers, plus their quadratic computational complexities are problematic when applying them to large datasets. \r\n\r\nMore modern algorithms like [CURE](http://dl.acm.org/citation.cfm?id=276312) can better handle multidimensional data and sophiscated cluster shapes. It has 2000+ citations on Google Scholar so there is definitely a large demand for HC techniques that can handle \"big data\". [Wikipedia](http://en.wikipedia.org/wiki/CURE_data_clustering_algorithm) has the algorithm's pseudocode (I haven't checked it's validity). "},"comment":{"url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/comments/235655009","html_url":"https://github.com/JuliaStats/Clustering.jl/issues/27#issuecomment-235655009","issue_url":"https://api.github.com/repos/JuliaStats/Clustering.jl/issues/27","id":235655009,"user":{"login":"ararslan","id":6396159,"avatar_url":"https://avatars.githubusercontent.com/u/6396159?v=3","gravatar_id":"","url":"https://api.github.com/users/ararslan","html_url":"https://github.com/ararslan","followers_url":"https://api.github.com/users/ararslan/followers","following_url":"https://api.github.com/users/ararslan/following{/other_user}","gists_url":"https://api.github.com/users/ararslan/gists{/gist_id}","starred_url":"https://api.github.com/users/ararslan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ararslan/subscriptions","organizations_url":"https://api.github.com/users/ararslan/orgs","repos_url":"https://api.github.com/users/ararslan/repos","events_url":"https://api.github.com/users/ararslan/events{/privacy}","received_events_url":"https://api.github.com/users/ararslan/received_events","type":"User","site_admin":false},"created_at":"2016-07-27T17:15:46Z","updated_at":"2016-07-27T17:15:46Z","body":"I think it'd be great to have them in here should anyone want to take it on. Thanks for the update and good luck with your research!"}}
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