spark_user created SPARK-24217:
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Summary: Power Iteration Clustering is not displaying cluster
indices corresponding to some nodes.
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
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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