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Manoj Kumar commented on SPARK-5021: ------------------------------------ Ah, I see what you mean (Google helped me), I never knew that was called soft assignment. But I still think there would be benefits if we do not convert the input vectors to dense and keep everything else dense. > GaussianMixtureEM should be faster for SparseVector input > --------------------------------------------------------- > > Key: SPARK-5021 > URL: https://issues.apache.org/jira/browse/SPARK-5021 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.3.0 > Reporter: Joseph K. Bradley > Assignee: Manoj Kumar > > GaussianMixtureEM currently converts everything to dense vectors. It would > be nice if it were faster for SparseVectors (running in time linear in the > number of non-zero values). > However, this may not be too important since clustering should rarely be done > in high dimensions. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org