Singular Value Decomposition (SVD) in Spark Java

[Donni Khan]

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