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https://issues.apache.org/jira/browse/MAHOUT-845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank Scholten updated MAHOUT-845:
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Attachment: MAHOUT-845.patch
Here is a patch for retrieving the top k elements on Vector, implemented on
AbstractVector.
It returns an array of type Vector.Element with index and value. It can't
return a Vector because then you lose the original index positions and access
to the corresponding terms from the dictionary.
I used the existing TopK class from the taste module and moved it to math
commons. The top k elements code was also used by RowSimilarityJob and the
Vectors class so I also updated these parts.
Comments and suggestions welcome!
> Make cluster top terms code more reusable
> -----------------------------------------
>
> Key: MAHOUT-845
> URL: https://issues.apache.org/jira/browse/MAHOUT-845
> Project: Mahout
> Issue Type: Improvement
> Components: Clustering
> Affects Versions: 0.5
> Reporter: Frank Scholten
> Priority: Minor
> Fix For: 0.6
>
> Attachments: MAHOUT-845.patch
>
>
> When working with Mahout text clustering I find that I keep writing code
> similar to the contents of
> public static String getTopFeatures(Cluster cluster, String[] dictionary, int
> numTerms)
> in ClusterDumper in order to determine cluster labels.
> I think it would be useful if (parts of) this code are added to the cluster
> or vector API so that you could do something like
> Cluster cluster = ... // get the cluster from seq file iterable
> String clusterLabel = cluster.getTopTerms(1, dictionary); // Do something
> with the label
> I think this would make it easier to export and post-process clustering
> results, like indexing or storing them elsewhere.
> Thoughts?
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