I never saw much progress on this. On Wed, Dec 23, 2009 at 11:58 AM, Sean Owen (JIRA) <j...@apache.org> wrote:
> > [ > https://issues.apache.org/jira/browse/MAHOUT-173?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12794197#action_12794197] > > Sean Owen commented on MAHOUT-173: > ---------------------------------- > > Pinging this issue -- is there any progress in the past 3.5 months or > should we shelve it? > > > Implement clustering of massive-domain attributes > > ------------------------------------------------- > > > > Key: MAHOUT-173 > > URL: https://issues.apache.org/jira/browse/MAHOUT-173 > > Project: Mahout > > Issue Type: New Feature > > Components: Clustering > > Reporter: Matias Bjørling > > Priority: Trivial > > Original Estimate: 30h > > Remaining Estimate: 30h > > > > Implement the Clustering algorithm described in "A Framework for > Clustering Massive-Domain Data Streams" by Chary C. Aggarwal. > > Steps: > > 1. Implement baseline solution to compare solutions. > > 2. Figure out how to implement the loading of clustering by looking at > the k-means implementation. > > 3. Implement Count-Min sketch algorithm for each cluster. > > 4. Find out how to give the user the power to choose the distance > function for the input data ( Maybe already possible? ) > > -- > This message is automatically generated by JIRA. > - > You can reply to this email to add a comment to the issue online. > > -- Ted Dunning, CTO DeepDyve
