[
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).
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
