How to normalize data between 0 and 1

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Med Future
Med Future 2022-3-3
评论： Walter Roberson 2025-2-24
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

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回答（3 个）

Simon Chan
Simon Chan 2022-3-3
Another option is use function rescale
Davide Masiello
Davide Masiello 2022-3-3
Given the matrix A that you want to normalise, you could write
A = A/max(A(:));
  1 个评论
Image Analyst
Image Analyst 2022-3-3
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);

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Sinan Islam
Sinan Islam 2025-2-23
X_max = max(X);
X_min = min(X);
X_scaled = (X - X_min) ./ (X_max - X_min); % scales X to [0, 1]
  1 个评论
Walter Roberson
Walter Roberson 2025-2-24
Ran in:
That does not work if X consists of identical values
X = [1 1 1 1]
X = 1×4
1 1 1 1
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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
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rescale(X)
ans = 1×4
0 0 0 0
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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
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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
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rescale(X)
ans = 1×3
NaN NaN NaN
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If one of the input values is -inf then the code produces all NaN

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