I have matrix of 200*10 it has values between 50 and 150 I have to normalize it that is I want to see values less than one.

I know one way of doing is to divide it by max value but I want to know any other way i.e built in function of matlab or any other mathematical formula which shifts all values to less than one. Kindly do not mention sigmoid function as I have tried.

Thanks

[the cyclist]

You need to explain the context, what you are using the result for, constraints, etc.

For example, I could normalize by multiplying all your values by zero. Or by dividing them all by 7000.

What is wrong with just dividing by max value? Why are you dissatisfied with that solution?

[shane watson]

What I am doing is just to make my matrix values less than 1.I have matrix who max value is 90 so if I divide all values by 90 I will have the values less than 1 but this way I am not satisfied as I need some other way to do this step.

Thanks

[Image Analyst]

WHY do you need some other way? And, anyway, I gave you one below.

Answer 1

[Image Analyst]

There is a built-in function called mat2gray() in the Image Processing Toolbox, but it maps the min value to 0 and the max value to 1. This is slightly different than simply dividing by the max, which does not put the min value at 0 (unless it is already 0).