I am working on matrix factorization and I read the the paper http://arxiv.org/abs/0909.4061 about random projections. I am implementing distributed NMF. I tried to understand work of Dimitry Liubimov https://issues.apache.org/jira/browse/MAHOUT-376 about SSVD I think it is very relevant in the part where he pre process the matrix before starting the decomposition. Could anybody help me pre process the input matrix to produce a smaller one after doing the random projections to decrease its size. Also how could i map back the results from the decomposed matrices to the real data since they will be in another space. Is there a class in Mahout that i can use that will do that. Regards Ahmed Nagy
----- Ahmed Nagy -- View this message in context: http://lucene.472066.n3.nabble.com/Preprocess-Matrix-in-SSVD-with-random-projections-tp2362847p2362847.html Sent from the Mahout User List mailing list archive at Nabble.com.
