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https://issues.apache.org/jira/browse/MAHOUT-297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12861272#action_12861272
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Robin Anil commented on MAHOUT-297:
-----------------------------------
There was a discussion about this on the dev list. Check the util Vector
Benchmarks and see how much faster clustering became after this change.
Shouldnt necessarily be SeqAcc, if the points are all dense vectors. But
obvious savings for sparse data is much better than the slight loss in
performance for dense. (you will see that in the vector benchmarks code)
> Canopy and Kmeans clustering slows down on using SeqAccVector for center
> ------------------------------------------------------------------------
>
> Key: MAHOUT-297
> URL: https://issues.apache.org/jira/browse/MAHOUT-297
> Project: Mahout
> Issue Type: Improvement
> Components: Clustering
> Affects Versions: 0.4
> Reporter: Robin Anil
> Assignee: Robin Anil
> Fix For: 0.4
>
> Attachments: MAHOUT-297.patch, MAHOUT-297.patch, MAHOUT-297.patch,
> MAHOUT-297.patch, MAHOUT-297.patch
>
>
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