how to normalize data by "mean & std" from all data?

Question

MUKESH VIKRAM 2016-8-2

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/298143-how-to-normalize-data-by-mean-std-from-all-data

编辑： the cyclist 2016-8-2

dbhole.mat

i have attached the data file.Is there are any shorter method to normalise?

% drill_bit: Drill bits to use
load dbhole.mat
drill_bit = 1:14;
% hole_idx: number of holes for each drill bit
hole_idx = zeros(1,length(drill_bit));
for i=1:length(drill_bit)
    hole_idx(i) = length(whos(['d',num2str(drill_bit(i)),'h*']));
end
%%%%
sum1=0;
sum2=0;
sum3=0;
for i=1:length(drill_bit)
    for k=1:hole_idx(i)
        c=eval(sprintf('d%dh%d',drill_bit(i),k));
        [m n]=size(c);
        sum1= sum1+sum(c(:,1));
        sum2=sum2+sum(c(:,2));
        sum3=sum3+m;
    end
end
mean1=sum1/sum3
mean2=sum2/sum3
sum0=0;
sum4_1=0;
sum4_2=0;
for i=1:length(drill_bit)
    for k=1:hole_idx(i)
        c=eval(sprintf('d%dh%d',drill_bit(i),k));
        [m n]=size(c);
        sum4_1= sum0+sum((c(:,1)-mean1).^2);
        sum4_2= sum0+sum((c(:,2)-mean2).^2);
    end
end
sigma1=sqrt(sum4_1/sum3)
sigma2=sqrt(sum4_2/sum3)
for i=1:length(drill_bit)
    for k=1:hole_idx(i)
        c1=eval(sprintf('d%dh%d',drill_bit(i),k));
        A=(c1(:,1)-mean1)/sigma1;
        B=(c1(:,2)-mean2)/sigma2;
        A1{i}{k}=[num2cell(A) num2cell(B)];
        %     A1{i}{k}=num2cell(B);
        clear A;
        clear B;
    end
end