[jira] Updated: (MAHOUT-551) Kmeans example with space delimited data

["Djellel Eddine Difallah (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Djellel Eddine Difallah updated MAHOUT-551:
-------------------------------------------

    Attachment: MAHOUT-551.patch

This adds a new Job configuration under the example package, it can be run using:
MAHOUT_HOME/bin/mahout org.apache.mahout.clustering.generic.kmeans.Job -i <input> -o <output> -k <num_clusters> -x <maxIterations>

> 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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