I want to normalize just one column, how do i do that ?

[Diogo Costa]

The colum is the 12 that i want to normalize, i can't find a way to do a code that normalize one or specific columns without changing the others

Answer 1

[Steven Lord]

format shortg % Changing the display format to make the normalized matrix look nicer
M = magic(6)

M = 6×6

35 1 6 26 19 24 3 32 7 21 23 25 31 9 2 22 27 20 8 28 33 17 10 15 30 5 34 12 14 16 4 36 29 13 18 11

M(:, 4) = normalize(M(:, 4)) % Normalized with 'zscore'

M = 6×6

35 1 6 1.3716 19 24 3 32 7 0.4572 23 25 31 9 2 0.64008 27 20 8 28 33 -0.27432 10 15 30 5 34 -1.1887 14 16 4 36 29 -1.0058 18 11

M([1 3], :) = normalize(M([1 3], :), 2, 'center') % normalize so rows 1 and 3 have mean 0

M = 6×6

20.605 -13.395 -8.3953 -13.024 4.6047 9.6047 3 32 7 0.4572 23 25 16.06 -5.94 -12.94 -14.3 12.06 5.06 8 28 33 -0.27432 10 15 30 5 34 -1.1887 14 16 4 36 29 -1.0058 18 11

[mean(M(1, :)), mean(M(3, :))] % check -- should be close to 0

ans = 1×2

8.8818e-16 1.1842e-15

Answer 2

[Jonas]

use

data(:,12)=data(:,12)/max(abs(data(:,12)));

if your data in column 12 is not negative, then you can leave out the abs() function