I want to start with a mxn matrix A and factorise it into two matrices mxr and rxn. r can be greater than the dimensions of matrix A.
我想从一个mxn矩阵a开始把它分解成两个矩阵mxr和rxn。r可以大于矩阵A的维数。
nnmf allows only for r< min(size(A))
nnmf只允许r< min(size(A))
Is there a way I can factorise the matrix into two matrices?
有没有一种方法可以把矩阵分解成两个矩阵?
2 个解决方案
#1
1
There are some factorization functions available in matlab, see here: http://www.matrixlab-examples.com/matrix-decomposition.html
在matlab中有一些可分解的函数，请参见这里:http://www.matrixlab-examples.com/matrix- demoposition.html。
e.g. LU / qr - factorization, cholesky etc...
例如:LU / qr -因数分解，cholesky等…
#2
1
You can visit Professor Haesun Park's Academic Home Page and download this package from there.
您可以访问Haesun Park教授的学术主页，并从那里下载这个包。
Actually she implements Non-Negative Matrix Factorization with Alternating Non-Negativity-constrained Least Squares and Block Principal Pivoting / Active Set Methods in Matlab.
实际上，在Matlab中，她实现了非负矩阵分解和非负约束最小二乘和块主旋转/主动集方法。
Also you can find implementation of Mixed Membership Matrix Factorization (M3F) in Matlab, here.
还可以在Matlab中找到混合成员矩阵分解(M3F)的实现。
#1
1
There are some factorization functions available in matlab, see here: http://www.matrixlab-examples.com/matrix-decomposition.html
在matlab中有一些可分解的函数，请参见这里:http://www.matrixlab-examples.com/matrix- demoposition.html。
e.g. LU / qr - factorization, cholesky etc...
例如:LU / qr -因数分解，cholesky等…
#2
1
You can visit Professor Haesun Park's Academic Home Page and download this package from there.
您可以访问Haesun Park教授的学术主页，并从那里下载这个包。
Actually she implements Non-Negative Matrix Factorization with Alternating Non-Negativity-constrained Least Squares and Block Principal Pivoting / Active Set Methods in Matlab.
实际上，在Matlab中，她实现了非负矩阵分解和非负约束最小二乘和块主旋转/主动集方法。
Also you can find implementation of Mixed Membership Matrix Factorization (M3F) in Matlab, here.
还可以在Matlab中找到混合成员矩阵分解(M3F)的实现。