文件名称:NMF-DTU-Toolbox
介绍说明--下载内容来自于网络,使用问题请自行百度
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
[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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
NMF-DTU-Toolbox/
NMF-DTU-Toolbox/IndianPines.mat
NMF-DTU-Toolbox/READ ME.txt
NMF-DTU-Toolbox/compare.m
NMF-DTU-Toolbox/email.zip
NMF-DTU-Toolbox/nmf.m
NMF-DTU-Toolbox/nmf_als.asv
NMF-DTU-Toolbox/nmf_als.m
NMF-DTU-Toolbox/nmf_alsobs.m
NMF-DTU-Toolbox/nmf_cjlin.m
NMF-DTU-Toolbox/nmf_euclidean_dist.m
NMF-DTU-Toolbox/nmf_mm.m
NMF-DTU-Toolbox/nmf_prob.m
NMF-DTU-Toolbox/order_comp.m
NMF-DTU-Toolbox/petAnalyzeImage.zip
NMF-DTU-Toolbox/sina_live_setup20130528.exe
NMF-DTU-Toolbox/test_toolbox.m
NMF-DTU-Toolbox/IndianPines.mat
NMF-DTU-Toolbox/READ ME.txt
NMF-DTU-Toolbox/compare.m
NMF-DTU-Toolbox/email.zip
NMF-DTU-Toolbox/nmf.m
NMF-DTU-Toolbox/nmf_als.asv
NMF-DTU-Toolbox/nmf_als.m
NMF-DTU-Toolbox/nmf_alsobs.m
NMF-DTU-Toolbox/nmf_cjlin.m
NMF-DTU-Toolbox/nmf_euclidean_dist.m
NMF-DTU-Toolbox/nmf_mm.m
NMF-DTU-Toolbox/nmf_prob.m
NMF-DTU-Toolbox/order_comp.m
NMF-DTU-Toolbox/petAnalyzeImage.zip
NMF-DTU-Toolbox/sina_live_setup20130528.exe
NMF-DTU-Toolbox/test_toolbox.m
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