[jira] [Commented] (SPARK-1675) Make clear whether computePrincipalComponents centers data
[ https://issues.apache.org/jira/browse/SPARK-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14039944#comment-14039944 ] Sean Owen commented on SPARK-1675: -- Is this still valid? Looking at the code, PCA is computed as the SVD of the covariance matrix. The means implicitly don't matter. they are not explicitly subtracted, and do not matter. Or is there still a doc change desired? Make clear whether computePrincipalComponents centers data -- Key: SPARK-1675 URL: https://issues.apache.org/jira/browse/SPARK-1675 Project: Spark Issue Type: Improvement Components: MLlib Affects Versions: 1.0.0 Reporter: Sandy Ryza Assignee: Sandy Ryza -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (SPARK-1675) Make clear whether computePrincipalComponents centers data
[ https://issues.apache.org/jira/browse/SPARK-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13998103#comment-13998103 ] Xiangrui Meng commented on SPARK-1675: -- Centering in PCA should be the standard practice. Make clear whether computePrincipalComponents centers data -- Key: SPARK-1675 URL: https://issues.apache.org/jira/browse/SPARK-1675 Project: Spark Issue Type: Improvement Components: MLlib Affects Versions: 1.0.0 Reporter: Sandy Ryza Assignee: Sandy Ryza -- This message was sent by Atlassian JIRA (v6.2#6252)
