- deliberately returning a cell array when the results would fit in a vector
- passing multiple cell arrays in to cellfun(), knowing that the corresponding elements will be extracted from each and passed to the function handle
normalization of cell arrays
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Hi
i want to normalize the values in a cell array called G
G is partitioned into 6 blocks (cell arrays) so i want to normalize each block separately (G{i,j}), each block is of size 128X128
Gmin = min((G(:)));
Gnorm = (G - Gmin) ./ (max(G1{:,:}) - Gmin);
i tried this:
Gmin(i,j)=min(G{i,j});
but i got this error:
??? Undefined function or method 'min' for input arguments of type 'cell'.
Error in ==> DOC at 124
Gmin(i,j)=min(G{i,j});
any suggestions please ???
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Respuesta aceptada
Walter Roberson
el 6 de En. de 2012
Gmin = cellfun(@(M) min(M(:)), G, 'Uniform', 0);
Gmax = cellfun(@(M) max(M(:)), G, 'Uniform', 0);
Gnorm = cellfun(@(M,minM,maxM) (M-minM) ./ (maxM-minM)), G, Gmin, Gmax, 'Uniform', 0);
This relies on two uncommon usages:
There are other ways of coding this, such as using arrayfun()
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