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Posted to user@spark.apache.org by Donni Khan <pr...@googlemail.com> on 2018/01/31 13:55:36 UTC
Singular Value Decomposition (SVD) in Spark Java
Hi,
I would like to use the *Singular Value Decomposition* (SVD) to extract the
important concepts from a collection of text documents. I applied all
preprcessing pipeline( Tokenizer, IDFModel, Matrix, ... )
then I applied SVD
SingularValueDecomposition<RowMatrix, Matrix> svd = rowMatrix.computeSVD(5,
*true*, 1.0E-9d);
Vect Matrix V = svd.V();
I actually want to convert the results of SVD into the text(related
feature).
Does anyone know how can I get the original featurs from the Java Spark
Matrix ?
Thank you.
Doni