How can i remove outliers from a 3d array using median standard deviation?
4 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi everyone, I have a 3d array E(i,j,k) in which k is the number of data in the dimension i and j. how can I remove the outliers from this 3d array using MAD(median absolute deviation)?
thank you in advance
6 Kommentare
Image Analyst
am 4 Jul. 2018
Bearbeitet: Image Analyst
am 4 Jul. 2018
MAD is either the mean absolute deviation, or median absolute deviation - see wikipedia. Never heard of mean standard deviation, but I guess you could compute it if you had a population size. Which do you want? MAD is a very common outlier metric so you probably want that, but which MAD?
And what do you mean by removing outliers in a 3-D array. You cannot just get rid of those elements, but you can assign them to something, like the overall global mean, or zero, or the local median, or NAN, or something. What do you want?
Akzeptierte Antwort
KSSV
am 4 Jul. 2018
A = rand(30,36,100) ; % some random data
[nx,ny,nz] = size(A) ;
for i = 1:nx
for j = 1:ny
T = squeeze(A(i,j,:)) ;
themean = mean(T) ;
sigma = std(T) ;
idx = T>themean+3*sigma ;
T(idx) = NaN ;
idx = T<themean-3*sigma ;
T(idx) = NaN ;
A(i,j,:) = T ;
end
end
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Structures finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!