[jira] Resolved: (MAHOUT-5) Implement a k-means clustering prototype

["Grant Ingersoll (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-5?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Grant Ingersoll resolved MAHOUT-5.
----------------------------------

       Resolution: Fixed
    Fix Version/s: 0.1

Committed revision 632543.

Thanks Jeff!

> Implement a k-means clustering prototype 
> -----------------------------------------
>
>                 Key: MAHOUT-5
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-5
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Clustering
>    Affects Versions: 0.1
>            Reporter: Jeff Eastman
>            Assignee: Grant Ingersoll
>            Priority: Minor
>             Fix For: 0.1
>
>         Attachments: kmeans.zip, MAHOUT-5.patch, MAHOUT-5a.diff, MAHOUT-5b.diff, MAHOUT-5c.diff, MAHOUT-5d.diff, MAHOUT-5e.diff
>
>
> K-means clustering is closely related to Canopy clustering and often uses canopies to determine the initial clusters. I'd like to implement a k-means prototype and tests in the package org.apache.mahout.clustering.kmeans. 

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