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https://issues.apache.org/jira/browse/MAHOUT-551?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12934367#action_12934367
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Jeff Eastman commented on MAHOUT-551:
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Patch looks about right and would use the RandomSeedGenerator correctly to
prime initial clusters for k-means. Adding a new package and an example class
that is 99% the same as the synthetic control kmeans Job seems like overkill,
though. How about adding -k to the existing Job and letting it serve both
approaches?
> Kmeans example with space delimited data
> ----------------------------------------
>
> Key: MAHOUT-551
> URL: https://issues.apache.org/jira/browse/MAHOUT-551
> Project: Mahout
> Issue Type: Improvement
> Components: Utils
> Affects Versions: 0.4
> Reporter: Djellel Eddine Difallah
> Priority: Minor
> Attachments: MAHOUT-551.patch
>
>
> The provided example for Kmeans clustering using the synthetic control data
> asks for t1 and t2 measures because it runs the Canopy Driver to determine
> the initial clusters. Kmeans originally requires a K variable to generate
> random centers from the input data. I propose to add another example in the
> package which will serve for any space delimited numerical input to cluster
> with Kmeans in its original form and not using Canopy. The modification is
> quite simple and is mostly based on the synthetic control Job.
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