how can normalize the data between 0 and 1??
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how can normalize the data between 0 and 1??(exclude 0 and 1)
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Answers (2)
Walter Roberson
on 23 Feb 2017
mat2gray() would normalize to exactly 0 to exactly 1.
But what value do you want instead of 0? Should the smallest values be mapped to eps(realmin), which is about 1E-324 ?
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Jan
on 23 Feb 2017
@ananthi: Accepting an answer means, that the problem is solved. Then most readers will not care about the thread anymore. Is the problem solved?
Jan
on 23 Feb 2017
Edited: Jan
on 23 Feb 2017
A cheap adjustment of the edges:
x = randn(100, 1);
xn = (x - min(x)) / (max(x) - min(x));
xn(xn == 0) = eps; % Or: eps(realmin)
xn(xn == 1) = 1 - eps;
Or consider the limits during the normalization: [EDITED, first version failed]
xmin = min(x);
xmax = max(x);
range = (xmax - xmin) + eps(xmax - xmin);
xn = (x - (xmin - eps(xmin))) / range;
% Or:
% xn = (x - (xmin - eps(xmax - xmin))) / range;
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