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Cluster Identification : Topic Models, Matrix Factorization And Concept Association Networks
(2013-09-17)
The problem of identifying clusters arising in the context of topic models and related approaches is important in the area of machine learning. The problem concerning traversals on Concept Association Networks is of great ...
Provable Methods for Non-negative Matrix Factorization
(2017-10-31)
Nonnegative matrix factorization (NMF) is an important data-analysis problem which concerns factoring a given d n matrix A with nonnegative entries into matrices B and C where B and C are d k and k n with nonnegative ...