کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1256412 | 971472 | 2007 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel trilinear decomposition algorithm: Three-dimension non-negative matrix factorization
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی (عمومی)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Non-negative matrix factorization (NMF) is a technique for dimensionality reduction by placing non-negativity constraints on the matrix. Based on the PARAFAC model, NMF was extended for three-dimension data decomposition. The three-dimension non-negative matrix factorization (NMF3) algorithm, which was concise and easy to implement, was given in this paper. The NMF3 algorithm implementation was based on elements but not on vectors. It could decompose a data array directly without unfolding, which was not similar to that the traditional algorithms do. It has been applied to the simulated data array decomposition and obtained reasonable results. It showed that NMF3 could be introduced for curve resolution in chemometrics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Chemical Letters - Volume 18, Issue 4, April 2007, Pages 495–498
Journal: Chinese Chemical Letters - Volume 18, Issue 4, April 2007, Pages 495–498
نویسندگان
Hong Tao Gao, Dong Mei Dai, Tong Hua Li,