Normalize matrices of different sizes

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xiao wei
xiao wei 2020-11-5
评论： xiao wei 2020-11-11
I have different size matrix a1, a2, a3...an, size of a1= [m n1]; size of a2=[m n2]; size of a3=[m n3];...size of an=[m nn]; this means that the row number of all the matrix is the same, but their columns number is different. How could I normalize them into matrix [m n], while n is the biggest column number of all matrix? the rest of colums of other matrix should be added with zero. finally, how can I save all new matrix into a 3-D matrix?

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回答（1 个）

Ameer Hamza
Ameer Hamza 2020-11-5
See this example
a1 = rand(3,4);
a2 = rand(3,7);
a3 = rand(3,2);
a4 = rand(3,5);
a = {a1, a2, a3, a4};
m = height(a{1});
n = max(cellfun(@width, a));
a = cellfun(@(x) {[x zeros(m, n-width(x))]}, a);
A = cat(3, a{:}) % 3D matrix
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xiao wei
xiao wei 2020-11-11
my code is as follows:
loadstr(:,1) ={'...'}; %file name
loadstr(:,2) = {... }; % file classification
for i = 1:numel(loadstr(:,1))
path = 'C:\...'; % path for file
file = loadstr{i,1};
fileName = strcat(path,file,'.mat');
vars{i} = load(fileName);
tmp (i) = structfun(@length,vars{i});
maxLength=max(tmp);
end
for i = 1:numel(loadstr(:,1))
a = cellfun(@(x) {[x zeros(126, maxLength-tmp(i))]}, vars(i));
end
my problem is:
  1. how can I add zeros(126, maxLength-tmp(i)) to the end of each file and save it as new file (in the name of old file)?
  2. how can I save these new files into a 3-D matrix?

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