[HAMA-594] Implementation of a Semi-Clustering algorithm, described in Pregel paper.

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.6.2
• Fix Version/s: 0.6.3
• Component/s: examples, graph
• Labels: gsoc gsoc2013 mentor
• Assignee: R J
• Reporter: Edward J. Yoon
• Created: 20/Jun/12 10:18
• Updated: 23/Sep/13 23:53
• Resolved: 23/Sep/13 23:53

Description

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.

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This issue implements Semi-Clustering algorithm, described in Pregel paper, using Hama graph APIs.

Sub-Tasks

• Create a unit test for the SemiClustering example: Resolved