A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) is a common method in data mining that have been used in different applications as a dimension reduction, classification or clustering method. Methods in alternating least square (ALS) approach usually used to solve this non-convex minimization problem. At eac...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
University of Tehran
2015-09-01
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| Seri Bilgileri: | Journal of Sciences, Islamic Republic of Iran |
| Konular: | |
| Online Erişim: | https://jsciences.ut.ac.ir/article_55315_2115c7b81a5e4728a3ff207a0a9574b6.pdf |
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