[ https://issues.apache.org/jira/browse/SPARK-5021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14304298#comment-14304298 ]
Joseph K. Bradley commented on SPARK-5021: ------------------------------------------ That BLAS implementation is actually part of MLlib (see the imports). You may need to generalize it to work with SparseVector, but it should belong in mllib.linalg.BLAS. > 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