How to normalize data between 0 and 1

Hello everyone, i hope you are doing well.

I have the following data.

I want to normalize the data between 0 and 1

How can i do that

Answer 1

[Simon Chan]

Another option is use function rescale

Answer 2

[Davide Masiello]

Given the matrix A that you want to normalise, you could write

A = A/max(A(:));

[Image Analyst]

He wants the output to go between 0 and 1. Your code will not put the min at 0 unless it is already 0. The easiest solution is to just use

A = rescale(A, 0, 1);

Answer 3

[Sinan Islam]

X_max = max(X);
X_min = min(X);
X_scaled = (X - X_min) ./ (X_max - X_min);  % scales X to [0, 1]

[Walter Roberson]

That does not work if X consists of identical values

X = [1 1 1 1]

X = 1×4

1 1 1 1

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

X_max = max(X);
X_min = min(X);
X_scaled = (X - X_min) ./ (X_max - X_min)  % scales X to [0, 1]

X_scaled = 1×4

NaN NaN NaN NaN

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

rescale(X)

ans = 1×4

0 0 0 0

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

The code also produces questionable values if the maximum is inf but the points are not all identical

X = [1 2 inf]

X = 1×3

1 2 Inf

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

X_max = max(X);
X_min = min(X);
X_scaled = (X - X_min) ./ (X_max - X_min)  % scales X to [0, 1]

X_scaled = 1×3

0 0 NaN

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

rescale(X)

ans = 1×3

NaN NaN NaN

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

If one of the input values is -inf then the code produces all NaN