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https://issues.apache.org/jira/browse/MAHOUT-344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12916403#action_12916403
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Sean Owen commented on MAHOUT-344:
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I'm ready to commit after adjusting the code for project code style. However
there are two outstanding issues IMHO:
Catching OutOfMemoryError -- this looks bad. Is it really possible to proceed
in this case versus just crashing?
Random -- java.util.Random is used directly and hard-coded to a seed. Should it
not use an un-seeded RNG? and use RandomUtils.getRandom() in particular so that
tests are repeatable? But then the tests fail for me.
Don't need a new patch, perhaps just targeted advice on how we might adjust for
these as necessary.
> Minhash based clustering
> -------------------------
>
> Key: MAHOUT-344
> URL: https://issues.apache.org/jira/browse/MAHOUT-344
> Project: Mahout
> Issue Type: Bug
> Components: Clustering
> Affects Versions: 0.3
> Reporter: Ankur
> Assignee: Ankur
> Fix For: 0.4
>
> Attachments: MAHOUT-344-v1.patch, MAHOUT-344-v2.patch,
> MAHOUT-344-v3.patch, MAHOUT-344-v4.patch, MAHOUT-344-v5.patch,
> MAHOUT-344-v6.patch
>
>
> Minhash clustering performs probabilistic dimension reduction of high
> dimensional data. The essence of the technique is to hash each item using
> multiple independent hash functions such that the probability of collision of
> similar items is higher. Multiple such hash tables can then be constructed
> to answer near neighbor type of queries efficiently.
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