%群體的不規則度由信息熵來度量,熵越大,其不規則程度就越大,相似度也就越小
function result=similarity(antibody,n,m)
gene0=n-sum(antibody,1);   %各基因座上出現符號0和1的次數
gene1=sum(antibody,1);    
possibility0=gene0/n;
possibility1=gene1/n;
H=zeros(1,m);
%各基因座的熵
for j=1:m
    if(possibility0(j)~=0)
        H(j)=H(j)-possibility0(j).*log2(possibility0(j));
    end
    if(possibility1(j)~=0)
        H(j)=H(j)-possibility1(j).*log2(possibility1(j));
    end
end
result=1/(1+sum(H,2)/m);
end