For many applications (recommender systems, information retrieval, etc.), only the top k singular values (and their corresponding vectors) are required from the singular value decomposition.
Would be nice to have the SVD methods support a decompose(AMatrix, int) method that specifies the (maximum) number of singular values desired, so we don't waste time and space computing a bunch of unneeded ones.
For many applications (recommender systems, information retrieval, etc.), only the top k singular values (and their corresponding vectors) are required from the singular value decomposition.
Would be nice to have the
SVD
methods support adecompose(AMatrix, int)
method that specifies the (maximum) number of singular values desired, so we don't waste time and space computing a bunch of unneeded ones.