Normalizing to the maximum value

I have a 48X128 matrix. I want to normalize each row to the maximum value in that row. What function will achieve this?

Answer 1

[Sulaymon Eshkabilov]

Use normalize() to normalize each row or use simple matrix operation to obtain the values of matrix elements to be between [0 .. 1]:

A = randi(10, 7 , 5)   % Data 

A = 7×5

8 8 2 7 10 3 2 9 10 7 2 10 1 6 10 2 2 10 5 6 8 9 7 5 8 2 3 9 3 8 2 7 3 6 10

An = normalize(A,2)     % Normalize each row

An = 7×5

0.3333 0.3333 -1.6667 0 1.0000 -0.8979 -1.1785 0.7857 1.0663 0.2245 -0.8907 0.9845 -1.1251 0.0469 0.9845 -0.9045 -0.9045 1.5076 0 0.3015 0.3956 1.0550 -0.2638 -1.5825 0.3956 -0.9258 -0.6172 1.2344 -0.6172 0.9258 -1.1217 0.4362 -0.8101 0.1246 1.3710

ANor = A./max(A(1:end,:))  % Normalize wi.r.t. max value of each row

ANor = 7×5

1.0000 0.8000 0.2000 0.7000 1.0000 0.3750 0.2000 0.9000 1.0000 0.7000 0.2500 1.0000 0.1000 0.6000 1.0000 0.2500 0.2000 1.0000 0.5000 0.6000 1.0000 0.9000 0.7000 0.5000 0.8000 0.2500 0.3000 0.9000 0.3000 0.8000 0.2500 0.7000 0.3000 0.6000 1.0000

[Star Strider]

the normalize function defaults to normalising by 'zscore' . For other options, see the documentation section on method.