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Posted to issues@spark.apache.org by "shahid (JIRA)" <ji...@apache.org> on 2018/10/15 08:53:00 UTC
[jira] [Resolved] (SPARK-24217) Power Iteration Clustering is not
displaying cluster indices corresponding to some vertices.
[ https://issues.apache.org/jira/browse/SPARK-24217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
shahid resolved SPARK-24217.
----------------------------
Resolution: Done
Fix Version/s: (was: 2.4.0)
Target Version/s: (was: 2.4.0)
> Power Iteration Clustering is not displaying cluster indices corresponding to some vertices.
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-24217
> URL: https://issues.apache.org/jira/browse/SPARK-24217
> Project: Spark
> Issue Type: Bug
> Components: ML
> Affects Versions: 2.4.0
> Reporter: shahid
> Priority: Major
>
> We should display prediction and id corresponding to all the nodes. Currently PIC is not returning the cluster indices of neighbour IDs which are not there in the ID column.
> As per the definition of PIC clustering, given in the code,
> PIC takes an affinity matrix between items (or vertices) as input. An affinity matrix
> is a symmetric matrix whose entries are non-negative similarities between items.
> PIC takes this matrix (or graph) as an adjacency matrix. Specifically, each input row includes:
> * {{idCol}}: vertex ID
> * {{neighborsCol}}: neighbors of vertex in {{idCol}}
> * {{similaritiesCol}}: non-negative weights (similarities) of edges between the vertex
> in {{idCol}} and each neighbor in {{neighborsCol}}
> * *"PIC returns a cluster assignment for each input vertex."* It appends a new column {{predictionCol}}
> containing the cluster assignment in {{[0,k)}} for each row (vertex).
>
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