An algorithm with regularization constrains for nonnegative matrix factorization (RCNMF) is proposed.
提出一种带有正则约束的非负矩阵分解算法(RCNMF)。
In this paper, we present an algorithm to accurately compute the exponential of a triangular essentially nonnegative matrix.
本文给出了一个计算本质非负三角阵的指数函数的高精度算法。
One of well-known results is that the greatest eigenvalue of a nonnegative matrix lies between the smallest and the largest row sum.
一个著名的结果是一个非负矩阵的最大特征值在它的最小行和与最大行和之间。
Secondly, we discuss the problem of decomposing a nonnegative matrix into a product of fully indecomposable nonnegative matrices in chapter 2.
其次，在第二章中，我们讨论了将一个非负矩阵分解成有限多个完全不可分非负阵的乘积的问题。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
The estimation on the inverse elements of strictly diagonally dominant tridiagonal matrix is established; in this estimation, the nonnegative condition of matrix elements is moved.
利用严格对角占优和三对角矩阵的某些特性，推导出严格对角占优三对角矩阵逆元素的统一估计式。
In this paper, the algebraic perturbation theory of generalized B-D Inverse of L-nonnegative definite matrix is discussed. and the expressions of the algebraic perturbation are presented.
讨论了L-非负定矩阵的广义B-D逆的代数扰动问题，并给出了它的代数扰动表达式。
In this paper, the algebraic perturbation theory of generalized B-D Inverse of L-nonnegative definite matrix is discussed. and the expressions of the algebraic perturbation are presented.
讨论了L-非负定矩阵的广义B-D逆的代数扰动问题，并给出了它的代数扰动表达式。
应用推荐