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From "spark_user (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24217) Power Iteration Clustering is not displaying cluster indices corresponding to some vertices.
Date Thu, 10 May 2018 03:03:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16469859#comment-16469859
] 

spark_user commented on SPARK-24217:
------------------------------------

Behaviour should be same for both spark.ml and spark.mllib right?

> 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.  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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