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https://issues.apache.org/jira/browse/HAMA-594?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13630993#comment-13630993
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Rishabh Garg commented on HAMA-594:
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Hi,
I am a sophomore, pursuing Computer Science and Engineering in the Indian
Institute of Technology Delhi. I find this project very familiar as I recently
implemented a model social networking site(20,000 nodes) where people were
represented by vertices/nodes, and edges were used to denote the connections
between them. The model had efficient clustering algorithms to quantify the
frequency of discussion between the people and on a specific topic, using a
timeline. Also the model had hierarchical clustering which, I feel, is a good
way of describing clustering of such a high number of nodes(which is to be
expected). I have a good knowledge of several clustering algorithms and have
implementations of quite a few on my GitHub Account.
I also went through the Pregel paper. The applications of the same are several.
Also, I am trying to get familiar with Hama graph APIs. Any other pointers
would be appreciated. Edward ? Also wanted to know if this is a part of GSOC'13
?
Thanks
> 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
> Reporter: Edward J. Yoon
> Labels: gsoc, gsoc2013, mentor
>
> {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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