On the Convergence of Multiplicative Update Algorithms for Non-negative Matrix Factorization

國立臺灣大學資訊工程學系Lin, Chih-JenChih-JenLin2006-09-272018-07-052006-09-272018-07-052006http://ntur.lib.ntu.edu.tw//handle/246246/20060927122849054401Non-negative matrix factorization (NMF) is useful to find basis information of non-negative data. Currently multiplicative updates are a simple & popular way to find the factorization.application/pdf258305 bytesapplication/pdfzh-TWOn the Convergence of Multiplicative Update Algorithms for Non-negative Matrix Factorizationreporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/20060927122849054401/1/multconv.pdf