computePrincipalComponents returns a local matrix X, whose columns are the principal components (ordered), while those column vectors are in the same feature space as the input feature vectors. -Xiangrui
On Thu, Oct 16, 2014 at 2:39 AM, al123 <ant.lay...@hotmail.co.uk> wrote: > Hi, > > I don't think anybody answered this question... > > > fintis wrote >> How do I match the principal components to the actual features since there >> is some sorting? > > Would anybody be able to shed a little light on it since I too am struggling > with this? > > Many thanks!! > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/spark1-0-principal-component-analysis-tp9249p16556.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
