function dist = codedist_hamming(C1,C2)% Compute the hamming distance between rows of 'C1' and  columns of 'C2'%% >>  distance = codedist_hamming(encoded_data, codebook);% % 'encoded_data' contains the resulting codeword per row, n rows are possible% 'codebook' contains the codebooks prototype per class as columns.%  an infinitesimal number 'eps'  represents the don't care%% see also:%   code, codelssvm, code_MOC% Copyright (c) 2002,  KULeuven-ESAT-SCD, License & help @ http://www.esat.kuleuven.ac.be/sista/lssvmlab[nb,nbin] = size(C1);[nbin,dim] = size(C2);dist = zeros(nb,dim);for d = 1:dim,  for n= 1:nb,    dist(n,d) = nbin-sum(C1(n,:)==C2(:,d)' | C1(n,:) < -10000 | C1(n,:) ==eps | C1(n,:) > 10000 | C2(:,dim)'==eps);  endend