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https://issues.apache.org/jira/browse/SPARK-12363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15061761#comment-15061761
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Yanbo Liang edited comment on SPARK-12363 at 12/17/15 9:20 AM:
---------------------------------------------------------------

{quote}
Does it improve if you increase the number of iterations KMeans runs for when 
called from PIC?
{quote}
No, it converged in 1 iterations in any condition.

I'm confused that we have two test case:
{code}
test("power iteration clustering")
test("power iteration clustering on graph")
{code}
They use the same input data, but call different train API. 
It should get same result theoretically, but the first test case succeed and 
the second one failed.


[~josephkb] 


was (Author: yanboliang):
{quote}
Does it improve if you increase the number of iterations KMeans runs for when 
called from PIC?
{quote}
No, it converged in 1 iterations in any condition.

I'm confused that we have two test case:
{code}
test("power iteration clustering")
test("power iteration clustering on graph")
{code}
They use the same input data, but call different train API. It should get same 
result theoretically.
But the first test case succeed and the second one failed.


[~josephkb] 

> PowerIterationClustering test case failed if we deprecated KMeans.setRuns
> -------------------------------------------------------------------------
>
>                 Key: SPARK-12363
>                 URL: https://issues.apache.org/jira/browse/SPARK-12363
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>            Reporter: Yanbo Liang
>            Priority: Minor
>
> We plan to deprecated `runs` of KMeans, PowerIterationClustering will 
> leverage KMeans to train model.
> I removed `setRuns` used in PowerIterationClustering, but one of the test 
> cases failed.



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