Metrics for Matrices similarity
15 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
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 Commenti
Risposta accettata
bym
il 29 Ott 2011
you can try using their eigenvalues:
x = norm(eig(a)-eig(b)); % a & b are your 2 matricies
9 Commenti
Christine Tobler
il 14 Set 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
il 24 Mag 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.
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Matrix Indexing in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!