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https://issues.apache.org/jira/browse/MAHOUT-588?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12991398#comment-12991398
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Szymon Chojnacki commented on MAHOUT-588:
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Thank you Ted for your support,
the vectors in our 3-gram set have 935 173 coordinates, on average 372 452 are
non-empty (39.8%). Currently we limited the dimensionality to around 500K by
preserving only 1- and 2-grams. When we are successful with the smaller
dimensionality we come back to the issue of hashed feature encoding with
3-grams.
Regards
> Benchmark Mahout's clustering performance on EC2 and publish the results
> ------------------------------------------------------------------------
>
> Key: MAHOUT-588
> URL: https://issues.apache.org/jira/browse/MAHOUT-588
> Project: Mahout
> Issue Type: Task
> Reporter: Grant Ingersoll
> Attachments: SequenceFilesFromMailArchives.java,
> SequenceFilesFromMailArchives2.java, TamingAnalyzer.java,
> TamingAnalyzer.java, TamingAnalyzerTest.java, TamingCollocDriver.java,
> TamingCollocMapper.java, TamingDictVect.java,
> TamingDictionaryVectorizer.java, TamingGramKeyGroupComparator.java,
> TamingTFIDF.java, TamingTokenizer.java, Top1000Tokens_maybe_stopWords,
> Uncompress.java, clusters1.txt, clusters_kMeans.txt,
> distcp_large_to_s3_failed.log, ec2_setup_notes.txt,
> seq2sparse_small_failed.log, seq2sparse_xlarge_ok.log
>
>
> For Taming Text, I've commissioned some benchmarking work on Mahout's
> clustering algorithms. I've asked the two doing the project to do all the
> work in the open here. The goal is to use a publicly reusable dataset (for
> now, the ASF mail archives, assuming it is big enough) and run on EC2 and
> make all resources available so others can reproduce/improve.
> I'd like to add the setup code to utils (although it could possibly be done
> as a Vectorizer) and the publication of the results will be put up on the
> Wiki as well as in the book. This issue is to track the patches, etc.
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