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From "Tommaso Teofili (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-594) Implementation of a Semi-Clustering algorithm, described in Pregel paper.
Date Mon, 09 Sep 2013 21:44:51 GMT

    [ https://issues.apache.org/jira/browse/HAMA-594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13762342#comment-13762342

Tommaso Teofili commented on HAMA-594:

I just noticed the semi clustering classes live in the examples module while I think they
should be in the machine learning one, with a proper example then in the examples module,
so most of them should go to ml module except for the _SemiClusterJobDriver_.

If there's no objection I'll do the refactoring accordingly.
> Implementation of a Semi-Clustering algorithm, described in Pregel paper.
> -------------------------------------------------------------------------
>                 Key: HAMA-594
>                 URL: https://issues.apache.org/jira/browse/HAMA-594
>             Project: Hama
>          Issue Type: New Feature
>          Components: examples, graph
>    Affects Versions: 0.6.2
>            Reporter: Edward J. Yoon
>            Assignee: Renil J
>              Labels: gsoc, gsoc2013, mentor
>             Fix For: 0.6.3
>         Attachments: HAMA-594.patch, HAMA-594_v02.patch
> {quote}
> 5.4 Semi-Clustering
> Pregel has been used for several different versions of clus-tering. One version, semi-clustering,
arises in social graphs. Vertices in a social graph typically represent people, and edges
represent connections between them.
> ....
> {quote}
> This issue implements Semi-Clustering algorithm, described in Pregel paper, using Hama
graph APIs.

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