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From "spark_user (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-24217) Power Iteration Clustering is not displaying cluster indices corresponding to some vertices.
Date Wed, 09 May 2018 16:31:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24217?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

spark_user updated SPARK-24217:
-------------------------------
    Summary: Power Iteration Clustering is not displaying cluster indices corresponding to
some vertices.  (was: Power Iteration Clustering is not displaying cluster indices corresponding
to some nodes.)

> 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: spark_user
>            Priority: Major
>             Fix For: 2.4.0
>
>
> We should display prediction and id corresponding to all the nodes.
> 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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