how can normalize the data between 0 and 1??

how can normalize the data between 0 and 1??(exclude 0 and 1)

Answer 1

[Walter Roberson]

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 ?

[ananthi thirupathi]

the value should be more then zero but not exactly 0 and less than one. it may take any value as you said eps(realmin) also fine

[Jan]

@ananthi: Accepting an answer means, that the problem is solved. Then most readers will not care about the thread anymore. Is the problem solved?

[Walter Roberson]

mat2gray(DATA) * (1-eps) + eps(realmin)

Answer 2

[Jan]

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;

[ananthi thirupathi]

thank you jan simon.. this logic is working

[Ss]

Hi can I ask what is the function of eps(xmax-xmin)

[Sajitha K.N.]

sir,what is this x?

[Image Analyst]

It's the data that you want to rescale.