📄 normalize.m
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function [M, z] = normalise(A, dim)% NORMALISE Make the entries of a (multidimensional) array sum to 1% [M, c] = normalise(A)% c is the normalizing constant%% [M, c] = normalise(A, dim)% If dim is specified, we normalise the specified dimension only,% otherwise we normalise the whole array.if nargin < 2 z = sum(A(:)); % Set any zeros to one before dividing % This is valid, since c=0 => all i. A(i)=0 => the answer should be 0/1=0 s = z + (z==0); M = A / s;elseif dim==1 % normalize each column z = sum(A); s = z + (z==0); %M = A ./ (d'*ones(1,size(A,1)))'; M = A ./ repmatC(s, size(A,1), 1);else % Keith Battocchi - v. slow because of repmat z=sum(A,dim); s = z + (z==0); L=size(A,dim); d=length(size(A)); v=ones(d,1); v(dim)=L; %c=repmat(s,v); c=repmat(s,v'); M=A./c;end
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