Normalizing data
6 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hi there,
How would you normalize a column of data in matlab between 0 and 1 using the formula, z = (x-mean)/standard deviation. Is there a built in function to do this?
Many thanks
John
1 Commento
Risposta accettata
Junaid
il 21 Dic 2011
Dear John,
Lets say you have matrix D and you want to normalize each value of Column to unit length (between 0-1). One possible way is :
D = bsxfun(@rdivide,D,sum(D));
each column will be unit normalized. If you take the sum of each column it will be one.
sum(D)
Do let me know if I understand you correct.
1 Commento
Più risposte (3)
Jurgen
il 18 Nov 2012
Dividing by the maximum does not correct for offset. So only ranges 0-X go to 0-1. If his column has a negative or nonzero minimum it won't normalize to 0-1.
While the formula for correcting this is simple, mat2gray will normalize to 0-1 for you:
for i = 1:ncol
D(:,i) = mat2gray(D(:,i))
end
You have to decide if you need to normalize before or after your calculation.
0 Commenti
VoyageR
il 3 Nov 2016
Also don't forget to set your data as double otherwise you will only have 1 or 0 in your normalized vector ; )
double(vectorOfIntergers)
0 Commenti
marwa el-hossary
il 7 Mag 2018
plz, how can I normalize data of matrix 1x256000 between -0.5 and +0.5 by matlab code
Vedere anche
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!