How can i remove outliers from a 3d array using median standard deviation?
조회 수: 10 (최근 30일)
이전 댓글 표시
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
댓글 수: 6
Image Analyst
2018년 7월 4일
편집: Image Analyst
2018년 7월 4일
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?
채택된 답변
KSSV
2018년 7월 4일
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
댓글 수: 0
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Structures에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!