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