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https://issues.apache.org/jira/browse/MAHOUT-763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Grant Ingersoll updated MAHOUT-763:
-----------------------------------
Attachment: MAHOUT-763.patch
First draft of a patch. Input seeds can be vector, Cluster or Canopy. Output
is <StringTuple, DoubleWritable> where the StringTuple is the name of each of
the seed vector (it induces a NamedVector over the seeds depending on the
input) and the second tuple entry is either the input key to the mapper or, if
the input value is a NamedVector, the name of the vector. This could likely be
parameterized a bit more so people could select.
> Map-Side Distance Comparison
> ----------------------------
>
> Key: MAHOUT-763
> URL: https://issues.apache.org/jira/browse/MAHOUT-763
> Project: Mahout
> Issue Type: New Feature
> Reporter: Grant Ingersoll
> Priority: Minor
> Attachments: MAHOUT-763.patch
>
>
> KMeans currently on the map-side calculates the distance between a set of
> seeds and all other vectors. It would be handy to have a generalization of
> this that, given a set of vectors that fits in memory (the seeds) and other
> points, emit <seed id, other id, distance> according to the distance measure.
> This is similar to the RowSimilarityJob, but much simpler and not as general
> purpose.
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