Design of recommender system following the latent factor model is widely cast as a matrix factorization problem yielding a rating matrix, which is a product of a dense user and a dense item factor matrices. A dense user factor matrix is a credible assumption as all users are expected to have some degree of affinity towards all the latent factors. However, for items it’s not a reasonable supposi...

The q-matrix method, a new method for data mining and knowledge discovery, is compared with factor analysis and cluster analysis in analyzing fourteen experimental data sets. This method creates a matrix-based model that extracts latent relationships among observed binary variables. Results show that the q-matrix method offers several advantages over factor analysis and cluster analysis for kno...

Submit Manuscript | http://medcraveonline.com Abbreviations: TERM: Tissue Engineering and Regenerative Medicine; GAG: Glycosaminoglycans; CEA: Cultured Epithelial Autograft; SCS: Stem Cells; MSCS: Mesenchymal Stem Cells, BMMSCS: Bone Marrow-Derived Mesenchymal Stem Cells; ADSCS: Adipose -Derived Mesenchymal Stem Cells; ECM: Extracellular Matrix; VEFG: Vascular Endothelial Growth Factor; PDGF: P...