Metrics for Matrices similarity
27 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Alex
el 29 de Oct. de 2011
Comentada: Shanelle Clarke
el 24 de Mayo de 2020
Dear all, I have made a process that makes approxmation of a source matrix.
Every approximated matrix contains error which usually are extreme values (compares to the source). I have noticed that when sme approximation start looking the same then I am getting really close the source image.
That I want to ask you if you know some mathematical ways to measure similaritis in two approximated-matrices. I have used already the corrcoef and it results goosd results but I also want to check other metric.
I wuld like to thank you in advance for your help B.R Alex
0 comentarios
Respuesta aceptada
bym
el 29 de Oct. de 2011
you can try using their eigenvalues:
x = norm(eig(a)-eig(b)); % a & b are your 2 matricies
9 comentarios
Christine Tobler
el 14 de Sept. de 2017
Hi Shima,
It's usually better to start a new post than reviving an old one. I'm not sure of the context for the original post, but I'd typically measure the difference between matrices using
norm(A-B)
which works for non-square matrices, too.
Shanelle Clarke
el 24 de Mayo de 2020
I've found that Christine's answer ( norm(A-B)) works better for me, since MATLAB doesn't always report the eig(A) and eig(B) in the same order.
Más respuestas (0)
Ver también
Categorías
Más información sobre Matrix Indexing en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!