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https://issues.apache.org/jira/browse/MAHOUT-5?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12569802#action_12569802
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Dawid Weiss commented on MAHOUT-5:
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Jeff, if you can start working before Wednesday, feel free to look at the code
above. If it helps you, good. If it doesn't (which is very likely), no worries.
These classes won't compile because there are missing dependencies (like
vectors, taken from Colt if I recall), but I don't think it matters for
understanding the main loop of the algorithm.
> 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: Jeff Eastman
> Priority: Minor
> Attachments: kmeans.zip
>
>
> 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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