Search - alternating least squares algorithm

Search - alternating least squares algorithm - List

[Mathimatics-Numerical algorithms] mcr_100_m7 DL : 0: 多元曲线解析-交替最小二乘法,MCR-ALS-Multivariate Curve Analysis- alternating least squares method, MCR- ALS
Update : 2025-02-17 Size : 97kb Publisher : 王勇
[matlab] NMF-DTU-Toolbox DL : 0: matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je
Update : 2025-02-17 Size : 15.02mb Publisher : 沈猴子
[matlab] IADM_NNLS_v0 DL : 0: IADM_NNLS:不精确的交替方向方法核标准正则化最小二乘问题，可以解决正则项是核范数的公式，例如低秩表示算法-IADM_NNLS: inexact alternating direction method nuclear standard regularized least squares problem, can solve the formula of regularization is nuclear norm, such as low rank said algorithm
Update : 2025-02-17 Size : 76kb Publisher : dulu
[Graph program] efficionotone DL : 0: In this paper, we present an efficient method for nonnegative matrix factorization based on the alternating nonnegative least squares framework. Our approach adopts a monotone projected Barzilai–Borwein (MPBB) method as an essential subroutine where the step length is determined without line search.(The Lipschitz constant of the gradient is exploited to accelerate convergence. Global convergence of the proposed MPBB method is established. Numerical results are reported to demonstrate the efficiency of our algorithm)
Update : 2025-02-17 Size : 300kb Publisher : song86