{"product_id":"nonnegative-matrix-factorizations-for-clustering-and-lsi-von-andri-mirzal","title":"Nonnegative Matrix Factorizations for Clustering and LSI","description":"\u003cp\u003eClustering and latent semantic indexing (LSI) are the  most common data analysis in text mining. Yet,  usually these tasks are discussed separately even  though both involve computing the same factors. In  this book, we will treat these two seemingly  different concepts as two aspects of the same  mathematical formula. The standard methods in  clustering and LSI produce mixed signed factors which  are unintuitive since most real datasets are  nonnegative. Hence, it is natural to consider the  using of nonnegative matrix factorizations which can  offer more interpretable results. The discussions in  this book are both theoretical and practical since we  give mathematical proofs for some important results  and accompany our algorithms with working codes in  Matlab\/Octave scripts. Thus, both scholarly and  practical readers can benefit from this book.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783844324891\"\u003e\u003ch3\u003eTheory and Programming\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783844324891","offer_id":39470102937693,"sku":"9783844324891","price":59.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/1f2d2f71-ade7-4f0a-ac3e-6243d60ef7b5.jpg?v=1770528785","url":"https:\/\/shop.autorenwelt.de\/en\/products\/nonnegative-matrix-factorizations-for-clustering-and-lsi-von-andri-mirzal","provider":"Autorenwelt Shop","version":"1.0","type":"link"}