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https://issues.apache.org/jira/browse/SPARK-21061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16046631#comment-16046631
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Sean Owen commented on SPARK-21061:
-----------------------------------
I get a slightly different error: NotConvergedException. The problem is that
some inputs to eigSym are NaN. After tracing it back a while it's because
math.exp(logpdf(x)) in pdf(x) becomes Infinite, and that's likely because sigma
is near-singular, so rootSigmaInv has huge values. I stopped before figuring
out exactly what's wrong there, but that's pretty much the root.
For your example, I think it's because you have too many cluster centers for
this data. Try k=5. It shouldn't cause an error, but, I think you'll find you
don't want nearly so many clusters anyway.
> GMM Error : Matrix is not symmetric
> -----------------------------------
>
> Key: SPARK-21061
> URL: https://issues.apache.org/jira/browse/SPARK-21061
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 1.6.0
> Environment: Ubuntu 14.04, Windows
> Reporter: Sourav Mahato
>
> I am trying to implement Gaussian Mixture Model(GMM) using Apache Spark MLlib
> (1.6.0). But I am getting the following error.
> https://stackoverflow.com/questions/44494599/spark-mllib-gmm-error-matrix-is-not-symmetric
>
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